Systems and methods for sequence detection in data processing

BACKGROUND OF THE INVENTION

0001The present inventions are related to systems and methods for processing data, and more particularly to systems and methods for detecting data sequences.

0002A typical data processing system receives an analog input signal that is sampled to yield a series of digital samples. The data often includes sequences of data used for data synchronization and/or other purposes. Various existing data processing systems utilize, for example, a Viterbi sequence detection circuit. Such a circuit operates well where the received digital samples of the analog input signal are accurately equalized to a target response and accurate timing and gain control are applied. In some cases, sufficient accuracy is hard to achieve resulting in degraded performance of the sequence detection. Other approaches rely on threshold detection processes that work reasonably well in low noise environments, but as channel bit densities increase the effects of noise increase rendering such threshold approaches less effective.

0003Hence, for at least the aforementioned reasons, there exists a need in the art for advanced systems and methods for data sequence detection.

0004Documents <patcit id="pcit0001" dnum="US4644564A"><text>US4644564</text></patcit> and XP11031948 disclose prior art decoding systems and methods for partial response channels.

BRIEF SUMMARY OF THE INVENTION

0005The present inventions are related to systems and methods for processing data, and more particularly to systems and methods for detecting data sequences.

0006Aspects of the present invention are defined in the appended claims.

BRIEF DESCRIPTION OF THE DRAWINGS

0007A further understanding of the various embodiments of the present invention may be realized by reference to the figures which are described in remaining portions of the specification. In the figures, like reference numerals are used throughout several figures to refer to similar components. In some instances, a sub-label consisting of a lower case letter is associated with a reference numeral to denote one of multiple similar components. When reference is made to a reference numeral without specification to an existing sub-label, it is intended to refer to all such multiple similar components. <ul id="ul0001" list-style="none" compact="compact"><li><figref idref="f0001">Fig. 1</figref> is a block diagram of a known magnetic storage medium and sector data scheme;</li><li><figref idref="f0002">Fig. 2</figref> depicts a data sequence detector circuit in accordance with one or more embodiments of the present invention;</li><li><figref idref="f0003">Fig. 3</figref> is a flow diagram depicting a sequence detection process in accordance with various embodiments of the present invention;</li><li><figref idref="f0004 f0005">Figs. 4a-4c</figref> depict an example state transition map corresponding to the processes described in the flow diagram of <figref idref="f0003">Fig. 3</figref> and/or the circuit depicted in <figref idref="f0002">Fig. 2</figref>; and</li><li><figref idref="f0005">Fig. 5</figref> shows a storage system including a read channel circuit with interim state sequence detecting in accordance with some embodiments of the present invention.</li></ul>

DETAILED DESCRIPTION OF THE INVENTION

0008The present inventions are related to systems and methods for processing data, and more particularly to systems and methods for detecting data sequences.

0009Turning to <figref idref="f0001">Fig. 1</figref>, a storage medium 1 is shown with two exemplary tracks 20, 22 indicated as dashed lines. The tracks are segregated by servo data written within wedges 19, 18. These wedges include servo data 10 that are used for control and synchronization of a read/write head assembly over a desired location on storage medium 1. In particular, this servo data generally includes a preamble pattern 11 followed by a servo address mark 12 (SAM). Servo address mark 12 is followed by a Gray code 13, and Gray code 13 is followed by burst information 14. It should be noted that while two tracks and two wedges are shown, hundreds of each would typically be included on a given storage medium. Further, it should be noted that a servo data set may have two or more fields of burst information. Yet further, it should be noted that different information may be included in the servo fields such as, for example, repeatable run-out information that may appear after burst information 14. Between the servo data bit patterns 10a and 10b, a user data region 16 is provided.

0010In operation, storage medium 1 is rotated in relation to a sensor that senses information from the storage medium. In a read operation, the sensor would sense servo data from wedge 19 (i.e., during a servo data period) followed by user data from a user data region between wedge 19 and wedge 18 (i.e., during a user data period) and then servo data from wedge 18. In a write operation, the sensor would sense servo data from wedge 19 then write data to the user data region between wedge 19 and wedge 18. Then, the sensor would be switched to sense a remaining portion of the user data region followed by the servo data from wedge 18.

0011Various embodiments of the present invention provide systems and methods for sequence detection that rely on a rough equalization to a target response followed by data dependent match filtering correlated to received digital samples. Using this information, a data path traversing a sequence can be determined that maximizes the output of the data dependent match filtering to yield a most likely data sequence. Unlike a standard Viterbi sequence detector that has a channel memory representing N-1 number of states, where N is the length of the partial response, one or more embodiments of the present invention utilize two distinct states for detecting binary data. Such systems and methods provide for a variety of advantages that may be had in different embodiments of the present invention. For example, in some cases, less precise equalization, timing and gain control than that required by a standard Viterbi detection process may be allowable. Where this is the case, increased manufacturing efficiency of products relying on data detection circuits may be achieved due to a reduction in the amount of time allotted to equalization testing. As another example, in some cases, enhanced noise immunity may be achieved when compared with threshold based sequence detection systems. Based upon the disclosure provided herein, one of ordinary skill in the art will recognize a variety of other advantages achievable through implementations of different embodiments of the present invention that may be achieved alternatively to or in addition to the advantages described above,

0012Turning to <figref idref="f0002">Fig. 2</figref>, a data sequence detector circuit 100 is shown in accordance with one or more embodiments of the present invention. Data sequence detector circuit 100 includes an analog to digital converter circuit 110 that receives an analog input signal 105, and provides a series of digital samples 115 representing analog input signal 105. Digital samples 115 are synchronized to a 4T sample clock 107. Analog to digital converter circuit 110 may be any circuit or system known in the art that is capable of converting a continuous signal into a series of digital samples. Analog input signal 107 is a continuous signal representing a number of bit periods. The bit periods recur with a periodicity of T, and the 4T sample clock causes analog to digital converter circuit 110 to generate four samples of analog input signal 105 for each period T. It should be noted that while the present embodiment is described as utilizing four samples per period, that other embodiments of the present invention may use a lower sampling frequency such as, for example, a 2T clock, or may use a higher sampling frequency such as, for example, an 8T clock or 16T clock. Based upon the disclosure provided herein, one of ordinary skill in the art will recognize a variety of sampling frequencies and corresponding bit periods that may be used in relation to different embodiments of the present invention. Analog input signal 105 may be derived from a variety of sources. For example, analog input signal may be received from a read/write head assembly disposed in relation to a storage medium. As another example, analog input signal may be derived from a receiver circuit that is receiving a wireless transmission. Based upon the disclosure provided herein, one of ordinary skill in the art will recognize a variety of other sources of analog input signal 105.

0013Digital samples 115 are provided in parallel to a block of multiplier circuits that each multiply the received digital sample by an array representing a particular transition path. In this case where there are two possible next states from any given prior state, four multiplier circuits are used. In particular, a multiplier circuit 121 multiplies digital samples 115 by a correlator value 122 representing a transition from a prior zero state to a next zero state. A multiplier circuit 123 multiplies digital samples 115 by a correlator value 124 representing a transition from a prior one state to a next zero state. A multiplier circuit 125 multiplies digital samples 115 by a correlator value 126 representing a transition from a prior zero state to a next one state. A multiplier circuit 127 multiplies digital samples 115 by a correlator value 128 representing a transition from a prior one state to a next one state. The resulting products from multiplier circuits 121, 123, 125, 127 are provided to respective adder circuits.

0014An adder circuit 131 performs a signed sum the product from multiplier circuit 121 with a prior zero state metric 132 to yield a sum 136, and an adder circuit 135 performs a signed sum the product from multiplier circuit 123 with the same prior zero state metric 132 to yield a sum 139. An adder circuit 133 performs a signed sum the product from multiplier circuit 123 with a prior one state metric 134 to yield a sum 138, and an adder circuit 137 performs a signed sum the product from multiplier circuit 127 with the same prior one state metric 134 to yield a sum 199. Prior zero state metric 132 is the value calculated for the next zero state during processing of the preceding four samples of digital samples 115 and is available from a zero state memory 172. Similarly, prior one state metric 134 is the value calculated for the next one state during processing of the preceding four samples of digital samples 115 and is available from a one state memory 174.

0015An interim state metric selector circuit 142 determines which of sum 136 and sum 138 is larger and provides the larger value as an interim output 146. Similarly, an interim state metric selector circuit 144 determines which of sum 139 and sum 199 is larger and provides the larger value as an interim output 148. Interim output 146 is provided to zero state memory 172 where it is stored and maintained as prior zero state metric 132 for use in processing the next four samples of digital samples 115. Interim output 148 is provided to one state memory 174 where it is stored and maintained as prior one state metric 134 for use in processing the next four samples of digital samples 115.

0016Both interim output 146 and interim output 148 are provided to a surviving state metric selector circuit 152 that selects the larger of interim value 146 and interim value 148 as the value of the surviving state. The state corresponding to the larger value is the surviving state, and an indication of the surviving state is passed to a state memory and pruning circuit 162. State memory and pruning circuit 162 determines a state to state path extending backward from the identified surviving state and resulting in the value selected by surviving state metric selector circuit 152. In doing so, state memory and pruning circuit 162 relies on previously calculated and stored sum values (i.e., sum 136, 138, 139, 199) and prior multiplication products (i.e., products from multipliers 121, 123, 125, 127) for prior periods T.

0017In operation, analog input signal 105 is provided to analog to digital converter 110. Analog input signal 105 represents a number of digital data bits. In some cases, the data represented by analog input signal was wide bi phase encoded prior to writing to a storage medium or transfer via a transmission system. In such an encoding, a logic zero is represented by the following series of digital samples 1100', and a logic one is represented by the following series of digital samples '0011'. As an example, the bit sequence '10011' is encoded as '00111100110000110011' prior to conversion to the analog signal domain where each bit of the '10011' bit pattern corresponds to a 1T period and each of the encoded bit values corresponds to a period 1T/4.

0018Where a target of [5 5 -5 -5] is used, when the analog signal is retrieved from the storage medium or a transfer medium the preceding example would ideally result in the following digital samples 115 '20 10 0 -10 -20 0 20 0 -20 -10 0 10 20 0 -20 0 20'. As can be seen, in a transition from a logic one to a logic zero digital samples 115 transition from 20 to 10 to 0 to -10. In this case, where a correlator circuit (e.g., multiplier 123) is used that multiplies the samples '100-10-20' by an array [10 -1 -1] (i.e., 1->0 correlator value 124) yielding an output value of +40 (i.e., [1*10]+[0*0]+[-1*-10]+[-1*-20] = 40). Similarly, in a transition from a logic zero to a logic zero an array (i.e., 0->0 correlator value 122) [0 1 0 -1] is used by a correlator circuit (i.e., multiplier 121). In a transition from a logic zero to a logic one an array (i.e., 0->1 correlator value 126) [-1 0 1 1] is used by a correlator circuit (i.e., multiplier 125). Finally, in a transition from a logic one to a logic one an array (i.e., 1->1 correlator value 128) [0 -1 0 1] is used by a correlator circuit (i.e., multiplier 127). It should be noted that other encoding approaches and/or correlator values may be used in relation to different embodiments of the present invention.

0019Noise and timing errors result in something other than ideal sample values being provided as digital samples 115 from analog to digital converter 110. As an example, assume the following digital samples 115 are received synchronous to 4T sample clock 107: <ul id="ul0002" list-style="none" compact="compact"><li>[... 124] [51, -35, -102, -112] [-16, 28, 48, 3] [-76, -42, 70, 52] [42, 56, -12, 99]. In the preceding series of samples, blocks of four samples are grouped with the final sample in each group being the sample that would have been used as the single sample where a simple threshold detector circuit had been used in place of data sequence detector circuit 100. Of note, where such a simple threshold detection approach is employed, digital samples 115 '124, -112, 13, 52, 99' would yield a detected sequence of '1 0 1 1 1'. As is shown below, data sequence detector circuit 100 yields the correct sequence of '1 0 0 1 1' as it is not as susceptible to noise as a simple threshold detector circuit.</li></ul>

0020Using the aforementioned series of digital samples 115 and referring to a trellis diagram 990 of <figref idref="f0004">Fig. 4a</figref>, an example operation of data sequence detector circuit 100 is further described, Assume that for a bit period 901 (4T period X-4), the one state is the surviving state (i.e., 1 state 920) as selected by state metric selector circuit 152 with a state value of '124'; and for a bit period 902 (4T period X-3), the zero state is the surviving state (i.e., 0 state 910) as selected by state metric selector circuit 152 with a state value of '389', and sum 138 corresponding to a one to zero transition path 931 having a value of '265'. The value '265' is derived by a preceding multiplication by multiplier 123 of 1->0 correlator value 124 (i.e., [1 0 -1 -1]) by digital samples '51, -35, -102, -112' as follows: <maths id="math0001" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>931</mn><mo>=</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>51</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>35</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>102</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>112</mn></mfenced><mo>=</mo><mn>265.</mn></mrow></math><img file="EP2416319B1_D0001.tif" /></maths>

0021The value of path 931 (i.e., '265') is added to the value of 1 state 920 (i.e., '124') to yield the value of 0 state 910 of '389'. Of note, for a bit period 903 (4T period X-2), the end state of the detected sequence is 1 state 921.

0022From 0 state 910 two possible paths are shown: a zero to one transition path 932, and a zero to zero transition path 951. The value of zero to one transition path 932 is calculated where multiplier 125 multiplies the next series of four samples (i.e., '-16, 28, 48, 13') by 0->1 correlator value 126 (i.e., [-1 0 1 1]) as follows: <maths id="math0002" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>932</mn><mo>=</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>16</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>28</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>48</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>13</mn></mfenced><mo>=</mo><mn>77.</mn></mrow></math><img file="EP2416319B1_D0002.tif" /></maths> Similarly, the value of zero to zero transition path 951 is calculated where multiplier 121 multiplies the next series of four samples (i.e., '-16, 28, 48, 13') by 0->0 correlator value 122 (i.e., [0 1 0 -1]) as follows: <maths id="math0003" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>951</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>16</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>28</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>48</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>13</mn></mfenced><mo>=</mo><mn>15.</mn></mrow></math><img file="EP2416319B1_D0003.tif" /></maths> Adder 135 adds the value of path 931 derived from multiplier 125 to the value of the prior zero state (i.e., the value of 0 state 910 which in this example is '389') to yield sum 139 in accordance with the following equation: <maths id="math0004" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>139</mn><mo>=</mo><mn>389</mn><mo>+</mo><mn>77</mn><mo>=</mo><mn>466.</mn></mrow></math><img file="EP2416319B1_D0004.tif" /></maths> Adder 131 adds the value of path 951 derived from multiplier 121 to the value of the prior zero state (i.e., the value of 0 state 910 which in this example is '389') to yield sum 136 in accordance with the following equation: <maths id="math0005" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>136</mn><mo>=</mo><mn>389</mn><mo>+</mo><mn>15</mn><mo>=</mo><mn>404.</mn></mrow></math><img file="EP2416319B1_D0005.tif" /></maths> At this juncture sufficient historical data has been developed to finish describing the operation of data sequence detector circuit 100 where the historical data is stored to state memory and pruning circuit 162 allowing for tracing a path back through the state options represented by trellis diagram 990 to determine the detected sequence of data bits.

0023The next series of four instances of data samples 115 are received as '-76, -42, 70, 52'. These data samples are multiplied by respective correlator values to yield path values for the transitions from zero to zero, from zero to one, from one to zero, and from one to one. In particular, the received data samples are provided to multiplier 121 where they are multiplied by 0->0 correlator value 122 [0 1 0 -1] to yield a path value 952 in accordance with the following equation: <maths id="math0006" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>952</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>76</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>70</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>52</mn></mfenced><mo>=</mo><mo>-</mo><mn>94.</mn></mrow></math><img file="EP2416319B1_D0006.tif" /></maths> The received data samples are also provided to multiplier 123 where they are multiplied by 1->0 correlator value 124 [1 0 -1 -1] to yield a path value 941 in accordance with the following equation: <maths id="math0007" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>941</mn><mo>=</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>76</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>70</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>52</mn></mfenced><mo>=</mo><mo>-</mo><mn>198.</mn></mrow></math><img file="EP2416319B1_D0007.tif" /></maths> The received data samples are also provided to multiplier 125 where they are multiplied by 0->1 correlator value 126 [-1 0 1 1] to yield a path value 933 in accordance with the following equation: <maths id="math0008" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>933</mn><mo>=</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>76</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>70</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>52</mn></mfenced><mo>=</mo><mn>198.</mn></mrow></math><img file="EP2416319B1_D0008.tif" /></maths> In addition, the received data samples are provided to multiplier 127 where they are multiplied by 1->1 correlator value 128 [0 -1 0 1] to yield a path value 961 in accordance with the following equation: <maths id="math0009" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>961</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>76</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>70</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>52</mn></mfenced><mo>=</mo><mn>94.</mn></mrow></math><img file="EP2416319B1_D0009.tif" /></maths>

0024The previously calculated path values are added to the state from which the respective begins to yield corresponding sums. In particular, path value 952 is provided to adder 131 where it is added to prior zero state metric 132 (i.e., the value of 0 state 911 which in this example is '404') to yield sum 136 in accordance with the following equation: <maths id="math0010" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>136</mn><mo>=</mo><mn>404</mn><mo>-</mo><mn>94</mn><mo>=</mo><mn>310.</mn></mrow></math><img file="EP2416319B1_D0010.tif" /></maths> Path value 941 is provided to adder 133 where it is added to prior one state metric 134 (i.e., the value of 1 state 921 which in this example is '466') to yield sum 138 in accordance with the following equation: <maths id="math0011" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>138</mn><mo>=</mo><mn>466</mn><mo>-</mo><mn>198</mn><mo>=</mo><mn>268.</mn></mrow></math><img file="EP2416319B1_D0011.tif" /></maths> Path value 933 is provided to adder 135 where it is added to prior zero state metric 132 (i.e., the value of 0 state 911 which in this example is '404') to yield sum 139 in accordance with the following equation: <maths id="math0012" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>139</mn><mo>=</mo><mn>404</mn><mo>+</mo><mn>198</mn><mo>=</mo><mn>602.</mn></mrow></math><img file="EP2416319B1_D0012.tif" /></maths> Path value 961 is provided to adder 137 where it is added to prior one state metric 134 (i.e., the value of 1 state 921 which in this example is '466') to yield sum 199 in accordance with the following equation: <maths id="math0013" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>199</mn><mo>=</mo><mn>466</mn><mo>+</mo><mn>94</mn><mo>=</mo><mn>560.</mn></mrow></math><img file="EP2416319B1_D0013.tif" /></maths>

0025Interim state metric selector circuit 142 selects the greater of sum 136 and sum 138 and causes the selected value to be written to zero state memory 172. Zero state memory 172 outputs the stored value as prior zero state metric 132. In this case, sum 136 is selected over sum 138, and the larger value (i.e., 310) is provided as interim output 146 to surviving state metric selector circuit 152. Similarly, interim state metric selector circuit 144 selects the greater of sum 139 and sum 199 and causes the selected value to be written to one state memory 174. One state memory 174 outputs the stored value as prior one state metric 134. In this case, sum 139 is selected over sum 199, and the larger value (i.e., 602) is provided as interim output 148 to surviving state metric selector circuit 152. In turn, surviving state metric selector circuit 152 selects the larger of interim output 146 and interim output 148. In this case, the surviving state is selected as 1 state 922 as it is associated with the largest interim output, '602'. Thus, for a bit period 904 (4T period X-1), the end state of the detected sequence is 1 state 922.

0026The selection of 1 state 922 is provided to state memory and pruning circuit 162. In turn, state memory and pruning circuit 162 traces the states that were traversed to result in selected 1 state 922. In this case, the following sequence of states were traversed to yield 1 state 922: <ul id="ul0003" list-style="none" compact="compact"><li>Sequence Output 170 = [ 1 state 920, 0 state 910, 0 state 911, 1 state 922 ] = '1 0 0 1'. It should be noted that sequence output 170 may include more or fewer than the example four bits depending upon the number of bits in an expected sequence. A longer sequence may include the storage of more interim path and state values by state memory and pruning circuit 162. In contrast, a shorter sequence may utilize the storage of fewer interim path and state values by state memory and pruning circuit 162. Where only a four bit sequence is detected, memory storing the value of 1 state 920 is removed along with corresponding information is removed (i.e., pruned) from state memory and pruning circuit 162.</li></ul>

0027The next series of samples are received as digital samples 115. In this example, the next four samples are '42, 56, -12, 99'. These data samples are multiplied by respective correlator values to yield path values for the transitions from zero to zero, from zero to one, from one to zero, and from one to one. In particular, the received data samples are provided to multiplier 121 where they are multiplied by 0->0 correlator value 122 [0 1 0 -1] to yield a path value 953 in accordance with the following equation: <maths id="math0014" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>953</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>56</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>12</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>99</mn></mfenced><mo>=</mo><mo>-</mo><mn>43.</mn></mrow></math><img file="EP2416319B1_D0014.tif" /></maths> The received data samples are also provided to multiplier 123 where they are multiplied by 1->0 correlator value 124 [1 0 -1 -1] to yield a path value 942 in accordance with the following equation: <maths id="math0015" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>942</mn><mo>=</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>56</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>12</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>99</mn></mfenced><mo>=</mo><mo>-</mo><mn>45.</mn></mrow></math><img file="EP2416319B1_D0015.tif" /></maths> The received data samples are also provided to multiplier 125 where they are multiplied by 0->1 correlator value 126 [-1 0 1 1] to yield a path value 934 in accordance with the following equation: <maths id="math0016" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>934</mn><mo>=</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>56</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>12</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>99</mn></mfenced><mo>=</mo><mn>45.</mn></mrow></math><img file="EP2416319B1_D0016.tif" /></maths> In addition, the received data samples are provided to multiplier 127 where they are multiplied by 1->1 correlator value 128 [0 -1 0 1] to yield a path value 962 in accordance with the following equation: <maths id="math0017" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>962</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>42</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>56</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>12</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>99</mn></mfenced><mo>=</mo><mn>43.</mn></mrow></math><img file="EP2416319B1_D0017.tif" /></maths>

0028The previously calculated path values are added to the state from which the respective begins to yield corresponding sums. In particular, path value 953 is provided to adder 131 where it is added to prior zero state metric 132 (i.e., the value of 0 state 912 which in this example is '310') to yield sum 136 in accordance with the following equation: <maths id="math0018" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>136</mn><mo>=</mo><mn>310</mn><mo>-</mo><mn>43</mn><mo>=</mo><mn>267.</mn></mrow></math><img file="EP2416319B1_D0018.tif" /></maths> Path value 942 is provided to adder 133 where it is added to prior one state metric 134 (i.e., the value of 1 state 922 which in this example is '602') to yield sum 138 in accordance with the following equation: <maths id="math0019" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>138</mn><mo>=</mo><mn>602</mn><mo>-</mo><mn>45</mn><mo>=</mo><mn>557.</mn></mrow></math><img file="EP2416319B1_D0019.tif" /></maths> Path value 934 is provided to adder 135 where it is added to prior zero state metric 132 (i.e., the value of 0 state 912 which in this example is '310') to yield sum 139 in accordance with the following equation: <maths id="math0020" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>139</mn><mo>=</mo><mn>310</mn><mo>+</mo><mn>45</mn><mo>=</mo><mn>355.</mn></mrow></math><img file="EP2416319B1_D0020.tif" /></maths>

0029Path value 962 is provided to adder 137 where it is added to prior one state metric 134 (i.e., the value of 1 state 922 which in this example is '602') to yield sum 199 in accordance with the following equation: <maths id="math0021" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>199</mn><mo>=</mo><mn>602</mn><mo>+</mo><mn>43</mn><mo>=</mo><mn>645.</mn></mrow></math><img file="EP2416319B1_D0021.tif" /></maths>

0030Interim state metric selector circuit 142 selects the greater of sum 136 and sum 138 and causes the selected value to be written to zero state memory 172. Zero state memory 172 outputs the stored value as prior zero state metric 132. In this case, sum 138 is selected over sum 136, and the larger value (i.e., 557) is provided as interim output 146 to surviving state metric selector circuit 152. Similarly, interim state metric selector circuit 144 selects the greater of sum 139 and sum 199 and causes the selected value to be written to one state memory 174. One state memory 174 outputs the stored value as prior one state metric 134. In this case, sum 199 is selected over sum 139, and the larger value (i.e., 645) is provided as interim output 148 to surviving state metric selector circuit 152. In turn, surviving state metric selector circuit 152 selects the larger of interim output 146 and interim output 148. In this case, the surviving state is selected as 1 state 923 as it is associated with the largest interim output, '645'. Thus, for a bit period 905 (4T period X), the end state of the detected sequence is 1 state 923.

0031The selection of 1 state 923 is provided to state memory and pruning circuit 162. In turn, state memory and pruning circuit 162 traces the states that were traversed to result in selected 1 state 923. In this case, the following sequence of states were traversed to yield 1 state 923: <ul id="ul0004" list-style="none" compact="compact"><li>Sequence Output 170 = [ 0 state 910, 0 state 911, 1 state 922, 1 state 923 ] = '0 0 1 1'. Again, where only a four bit sequence is detected, memory storing the value of 0 state 910 and the value of paths extending from 0 state 910 are removed (i.e., pruned) from state memory and pruning circuit 162 as shown in a trellis diagram 991 of <figref idref="f0004">Fig. 4b</figref>.</li></ul>

0032Turning to <figref idref="f0004">Fig. 4b</figref>, the next series of samples are received as digital samples 115. In this example, assume the next four samples are '-34, 1, 14, 64'. These data samples are multiplied by respective correlator values to yield path values for the transitions from zero to zero, from zero to one, from one to zero, and from one to one. In particular, the received data samples are provided to multiplier 121 where they are multiplied by 0->0 correlator value 122 [0 1 0 zu] to yield a path value 954 in accordance with the following equation: <maths id="math0022" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>954</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>34</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>1</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>14</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>64</mn></mfenced><mo>=</mo><mo>-</mo><mn>63.</mn></mrow></math><img file="EP2416319B1_D0022.tif" /></maths> The received data samples are also provided to multiplier 123 where they are multiplied by 1->0 correlator value 124 [1 0 -1 -1] to yield a path value 943 in accordance with the following equation: <maths id="math0023" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>943</mn><mo>=</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>34</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>1</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>14</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>64</mn></mfenced><mo>=</mo><mo>-</mo><mn>112.</mn></mrow></math><img file="EP2416319B1_D0023.tif" /></maths> The received data samples are also provided to multiplier 125 where they are multiplied by 0->1 correlator value 126 [-1 0 1 1] to yield a path value 935 in accordance with the following equation: <maths id="math0024" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>935</mn><mo>=</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>34</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>1</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>14</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>64</mn></mfenced><mo>=</mo><mn>112.</mn></mrow></math><img file="EP2416319B1_D0024.tif" /></maths> In addition, the received data samples are provided to multiplier 127 where they are multiplied by 1-> correlator value 128 [0 -1 0 1] to yield a path value 963 in accordance with the following equation: <maths id="math0025" num=""><math display="block"><mrow><mi>Value of Path</mi><mspace width="1em" /><mn>963</mn><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>34</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>1</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>14</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>64</mn></mfenced><mo>=</mo><mn>63.</mn></mrow></math><img file="EP2416319B1_D0025.tif" /></maths>

0033The previously calculated path values are added to the state from which the respective begins to yield corresponding sums. In particular, path value 954 is provided to adder 131 where it is added to prior zero state metric 132 (i.e., the value of 0 state 913 which in this example is '355') to yield sum 136 in accordance with the following equation: <maths id="math0026" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>136</mn><mo>=</mo><mn>355</mn><mo>-</mo><mn>63</mn><mo>=</mo><mn>292.</mn></mrow></math><img file="EP2416319B1_D0026.tif" /></maths> Path value 943 is provided to adder 133 where it is added to prior one state metric 134 (i.e., the value of 1 state 923 which in this example is '645') to yield sum 138 in accordance with the following equation: <maths id="math0027" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>138</mn><mo>=</mo><mn>645</mn><mo>-</mo><mn>112</mn><mo>=</mo><mn>533.</mn></mrow></math><img file="EP2416319B1_D0027.tif" /></maths> Path value 935 is provided to adder 135 where it is added to prior zero state metric 132 (i.e., the value of 0 state 913 which in this example is '355') to yield sum 139 in accordance with the following equation: <maths id="math0028" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>139</mn><mo>=</mo><mn>355</mn><mo>+</mo><mn>63</mn><mo>=</mo><mn>418.</mn></mrow></math><img file="EP2416319B1_D0028.tif" /></maths> Path value 963 is provided to adder 137 where it is added to prior one state metric 134 (i.e., the value of 1 state 923 which in this example is '645') to yield sum 199 in accordance with the following equation: <maths id="math0029" num=""><math display="block"><mrow><mi>Sum</mi><mspace width="1em" /><mn>199</mn><mo>=</mo><mn>645</mn><mo>+</mo><mn>112</mn><mo>=</mo><mn>757.</mn></mrow></math><img file="EP2416319B1_D0029.tif" /></maths>

0034Interim state metric selector circuit 142 selects the greater of sum 136 and sum 138 and causes the selected value to be written to zero state memory 172. Zero state memory 172 outputs the stored value as prior zero state metric 132. In this case, sum 138 is selected over sum 136, and the larger value (i.e., 533) is provided as interim output 146 to surviving state metric selector circuit 152. Similarly, interim state metric selector circuit 144 selects the greater of sum 139 and sum 199 and causes the selected value to be written to one state memory 174. One state memory 174 outputs the stored value as prior one state metric 134. In this case, sum 199 is selected over sum 139, and the larger value (i.e., 757) is provided as interim output 148 to surviving state metric selector circuit 152. In turn, surviving state metric selector circuit 152 selects the larger of interim output 146 and interim output 148. In this case, the surviving state is selected as 1 state 924 as it is associated with the largest interim output, '757'. Thus, for a bit period 906 (4T period X+1), the end state of the detected sequence is 1 state 924.

0035The selection of 1 state 924 is provided to state memory and pruning circuit 162. In turn, state memory and pruning circuit 162 traces the states that were traversed to result in selected 1 state 924. In this case, the following sequence of states were traversed to yield 1 state 924: <ul id="ul0005" list-style="none" compact="compact"><li>Sequence Output 170 = [ 0 state 911, 1 state 922, 1 state 923. 1 state 924 ] = '0 1 1 1'. Again, where only a four bit sequence is detected, memory storing the value of 0 state 911 and the value of paths extending from 0 state 911 are removed (i.e., pruned) from state memory and pruning circuit 162 as shown in a trellis diagram 992 <figref idref="f0005">Fig. 4c</figref>. This process continues as additional series of data bits are received.</li></ul>

0036Turing to <figref idref="f0003">Fig. 3</figref>, a flow diagram 200 depicts a sequence detection process in accordance with various embodiments of the present invention. Following flow diagram 200, it is determined whether 4T samples have been received (block 210). As previously described, 4T samples implies four samples for each bit transition. It should be noted that more or fewer samples per bit transition may be used in relation to different embodiments of the present invention. Once the prescribed number of samples has been received (block 210), the received samples are multiplied by respective correlator values to yield path values for the transitions from zero to zero, from zero to one, from one to zero, and from one to one. As an example, the four samples are: 51, -35, -102, -112. A prior zero state value is '12' and a prior one state value is 124'. In particular, a branch metric is calculated of a zero to one transition using a correlator value corresponding to a zero to one transition ('-1 0 1 1') (block 222). Using the aforementioned example inputs, the branch metric is calculated in accordance with the following equation: <maths id="math0030" num=""><math display="block"><mrow><mi>Branch Metric</mi><mo>=</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mn>51</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>35</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>102</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>112</mn></mfenced><mo>=</mo><mo>-</mo><mn>265.</mn></mrow></math><img file="EP2416319B1_D0030.tif" /></maths> Similarly, a branch metric is calculated of a one to one transition using a correlator value corresponding to a one to one transition ('0 -1 0 1') (block 224). Using the aforementioned example inputs, the branch metric is calculated in accordance with the following equation: <maths id="math0031" num=""><math display="block"><mrow><mi>Branch Metric</mi><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>51</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>35</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>102</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>112</mn></mfenced><mo>=</mo><mo>-</mo><mn>77.</mn></mrow></math><img file="EP2416319B1_D0031.tif" /></maths> A branch metric is calculated of a one to one transition using a correlator value corresponding to a one to zero transition ('1 0 -1 -1') (block 226). Using the aforementioned example inputs, the branch metric is calculated in accordance with the following equation: <maths id="math0032" num=""><math display="block"><mrow><mi>Branch Metric</mi><mo>=</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mn>51</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>35</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>102</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>112</mn></mfenced><mo>=</mo><mn>265.</mn></mrow></math><img file="EP2416319B1_D0032.tif" /></maths> In addition, a branch metric is calculated of a one to one transition using a correlator value corresponding to a zero to zero transition ('0 1 0 -1') (block 228). Using the aforementioned example inputs, the branch metric is calculated in accordance with the following equation: <maths id="math0033" num=""><math display="block"><mrow><mi>Branch Metric</mi><mo>=</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mn>51</mn></mfenced><mo>+</mo><mfenced separators=""><mn>1</mn><mo>*</mo><mo>-</mo><mn>35</mn></mfenced><mo>+</mo><mfenced separators=""><mn>0</mn><mo>*</mo><mo>-</mo><mn>102</mn></mfenced><mo>+</mo><mfenced separators=""><mo>-</mo><mn>1</mn><mo>*</mo><mo>-</mo><mn>112</mn></mfenced><mo>=</mo><mn>77.</mn></mrow></math><img file="EP2416319B1_D0033.tif" /></maths>

0037Once the branch metrics are available, the branch metrics are added to the value of the state from which the branch metric was derived. In particular, a state metric is calculated for the zero to one transition state to yield a first interim state (block 232). Using the aforementioned example inputs, the first interim state value is calculated in accordance with the following equation: <maths id="math0034" num=""><math display="block"><mrow><mi>First Interim Value</mi><mo>=</mo><mi>Prior Zero State Value</mi><mo>+</mo><mn>0</mn><mo>-</mo><mo>></mo><mn>1</mn><mspace width="1em" /><mi>Branch Metric</mi><mo>=</mo><mn>12</mn><mo>-</mo><mn>265</mn><mo>=</mo><mo>-</mo><mn>253.</mn></mrow></math><img file="EP2416319B1_D0034.tif" /></maths> A state metric is calculated for the one to one transition state to yield a second interim state (block 234). Using the aforementioned example inputs, the second interim state value is calculated in accordance with the following equation: <maths id="math0035" num=""><math display="block"><mrow><mi>Second Interim Value</mi><mo>=</mo><mi>Prior One State Value</mi><mo>+</mo><mn>1</mn><mo>-</mo><mo>></mo><mn>1</mn><mspace width="1em" /><mi>Branch Metric</mi><mo>=</mo><mn>124</mn><mo>-</mo><mn>77</mn><mo>=</mo><mn>47.</mn></mrow></math><img file="EP2416319B1_D0035.tif" /></maths> A state metric is calculated for the zero to zero transition state to yield a third interim state (block 236). Using the aforementioned example inputs, the third interim state value is calculated in accordance with the following equation: <maths id="math0036" num=""><math display="block"><mrow><mi>Third Interim Value</mi><mo>=</mo><mi>Prior Zero State Value</mi><mo>+</mo><mn>1</mn><mo>-</mo><mo>></mo><mn>0</mn><mspace width="1em" /><mi>Branch Metric</mi><mo>=</mo><mn>124</mn><mo>+</mo><mn>265</mn><mo>=</mo><mn>389.</mn></mrow></math><img file="EP2416319B1_D0036.tif" /></maths> In addition, a state metric is calculated for the zero to zero transition state to yield a fourth interim state (block 238). Using the aforementioned example inputs, the third interim state value is calculated in accordance with the following equation: <maths id="math0037" num=""><math display="block"><mrow><mi>Fourth Interim Value</mi><mo>=</mo><mi>Prior Zero State Value</mi><mo>+</mo><mn>0</mn><mo>-</mo><mo>></mo><mn>0</mn><mspace width="1em" /><mi>Branch Metric</mi><mo>=</mo><mn>12</mn><mo>+</mo><mn>77</mn><mo>=</mo><mn>89.</mn></mrow></math><img file="EP2416319B1_D0037.tif" /></maths>

0038A first surviving state metric is selected between the previously calculated first interim value and the second interim value (block 242). This is done by selecting the larger of the first interim value and the second interim value which in this example is '47'. This value is stored as the prior one state metric for use in multiplying the next series of data samples (e.g., in blocks 222, 224, 226, 228). In addition, a second surviving state metric is selected between the previously calculated third interim value and the fourth interim value (block 244). This is done by selecting the larger of the third interim value and the fourth interim value which in this example is '389'. This value is stored as the prior zero state metric for use in multiplying the next series of data samples (e.g., in blocks 222, 224, 226, 228). Based on the previously determined first surviving interim state and second surviving interim state, a surviving state metric is selected (block 252). This is done by selecting the larger of the first surviving interim state and the second surviving interim state which in this example is '389'. The surviving state metric in this case is the zero state. This surviving state metric corresponds to the most recent bit in the detected sequence, and is used to trace back in time to yield the detected bit sequence over the desired number of bits (block 262). This is done by determining prior state metrics in the path that ultimately resulted in the calculation of the value of the surviving state metric. The identified bit sequence is then provided as an output (block 272), and the process is repeated for the next series of digital samples that are received (block 210).

0039Turning to <figref idref="f0005">Fig. 5</figref>, a storage system 300 including a read channel circuit 310 with interim state sequence detecting is shown in accordance with various embodiments of the present invention. Storage system 300 may be, for example, a hard disk drive. The low latency loop recovery includes a data detector circuit that may be any data detector known in the art. Storage system 300 also includes a preamplifier 370, an interface controller 320, a hard disk controller 366, a motor controller 368, a spindle motor 372, a disk platter 378, and a read/write head 376. Interface controller 320 controls addressing and timing of data to/from disk platter 378. The data on disk platter 378 consists of groups of magnetic signals that may be detected by read/write head assembly 376 when the assembly is properly positioned over disk platter 378. In one embodiment, disk platter 378 includes magnetic signals recorded in accordance with either a longitudinal or a perpendicular recording scheme.

0040In a typical read operation, read/write head assembly 376 is accurately positioned by motor controller 368 over a desired data track on disk platter 378. Motor controller 368 both positions read/write head assembly 376 in relation to disk platter 378 and drives spindle motor 372 by moving read/write head assembly to the proper data track on disk platter 378 under the direction of hard disk controller 366. Spindle motor 372 spins disk platter 378 at a determined spin rate (RPMs). Once read/write head assembly 378 is positioned adjacent the proper data track, magnetic signals representing data on disk platter 378 are sensed by read/write head assembly 376 as disk platter 378 is rotated by spindle motor 372. The sensed magnetic signals are provided as a continuous, minute analog signal representative of the magnetic data on disk platter 378. This minute analog signal is transferred from read/write head assembly 376 to read channel module 364 via preamplifier 370. Preamplifier 370 is operable to amplify the minute analog signals accessed from disk platter 378. In turn, read channel circuit 310 decodes and digitizes the received analog signal to recreate the information originally written to disk platter 378. This data is provided as read data 303 to a receiving circuit. As part of decoding the received information, read channel circuit 310 performs a data sequence detection process to identify various information markers including, but not limited, a preamble in a servo data set to determine the location of read/write head assembly 376 relative to disk platter 378. Such data sequence detection may be performed using the circuit described above in relation to <figref idref="f0002">Fig. 2</figref> and/or the method discussed above in relation to <figref idref="f0003">Fig. 3a</figref>. A write operation is substantially the opposite of the preceding read operation with write data 301 being provided to read channel circuit 310. This data is then encoded and written to disk platter 378.

0041In conclusion, the invention provides novel systems, devices, methods and arrangements for performing data processing. While detailed descriptions of one or more embodiments of the invention have been given above, various alternatives, modifications, and equivalents will be apparent to those skilled in the art. Therefore, the above description should not be taken as limiting the scope of the invention, which is defined by the appended claims.