Abstract: The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for power governance in a data processing system. In some such systems and methods, the operation of one or more calibration circuits is modified when it is determined that too many data processing circuits are active.

Abstract: Various embodiments of the present invention are related to methods and apparatuses for decoding data, and more particularly to methods and apparatuses for decoding data in a mixed domain FFT-based non-binary LDPC decoder. For example, in one embodiment an apparatus includes a message processing circuit operable to process variable node messages and check node messages in a log domain, and a check node calculation circuit in the low density parity check decoder operable to perform a Fast Fourier Transform-based check node calculation in a real domain. The message processing circuit and the check node calculation circuit perform iterative layer decoding.

Abstract: The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for performing data decoding.

Abstract: A LE hard decision memory comprises a global mapping element to interleave L values from a first and second circulant and store the interleaved values in a first memory element. A low-density parity-check decoder then processes the circulants from the first memory element and stores output in a second memory element. The LE hard decision memory does not include any mux-demux elements.

Abstract: Systems, methods, devices, circuits for data processing, and more particularly to penalty based multi-variant encoding of data.

Abstract: The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for performing data decoding.

Abstract: The present inventions are related to systems and methods for data processing. As one example, a data processing system is discussed that includes a data decoder circuit and a matrix select control circuit. The data decoder circuit is operable to apply a data decode algorithm to a decoder input using a selected parity check matrix to yield a decoder output. The matrix select control circuit operable to select one of a first parity check matrix and a second parity check matrix as the selected parity check matrix.

Abstract: An error correction data processing apparatus includes a noise predictive calibration circuit operable to calibrate a first set of filter coefficients based on a first data set and a second set of filter coefficients based on a second data set, and includes a first noise predictive detector operable to receive the first set of filter coefficients. The apparatus further includes a decoder operable to perform a first global iteration with the first noise predictive detector and determine a violation check count value, and a second noise predictive detector operable to receive the second set of filter coefficients if the violation check count value is less than a predetermined value or receive the first set of filter coefficients if the violation check count value is greater than the predetermined value.

Abstract: Various embodiments of the present invention provide systems and methods for data processing. For example, a data processing system is disclosed that includes a decoder circuit providing a decoded output, and a dynamic scalar calculation circuit that determines a first dynamic scaling value and a second dynamic scaling value based at least in part on the decoded output. A first multiplier circuit multiplies the decoded output by the first dynamic scaling value and provides a first scaled output. A detector circuit receives the first scaled output and provides a detected output. A second multiplier circuit multiplies the detected output by the second dynamic scaling value and provides a second scaled output.

Abstract: The present inventions are related to systems and methods for data processing, and more particularly to systems and methods for data encoding.

Abstract: Various embodiments of the present invention provide systems and methods for decoding of non-binary LDPC codes. For example, a low density parity check data decoder is disclosed that includes a variable node processor operable to perform variable node updates based at least in part on check node to variable node message vectors, a check node processor operable to perform check node updates and to generate the check node to variable node message vectors, and a scheduler operable to cause the variable node processor to use check node to variable node message vectors from multiple decoding iterations when performing the variable node updates for a given decoding iteration.

Abstract: A data processing system is disclosed including a low density parity check decoder with a variable node processor, a check node processor and a scaler circuit. The low density parity check decoder is operable to scale soft information with a scaling factor in the scaler circuit while iteratively generating and processing check node to variable node messages in the variable node processor and variable node to check node messages in the check node processor between a plurality of check nodes and variable nodes. The scaling factor is derived from a distribution of possible values in an input to the low density parity check decoder.

Abstract: A data processing system is disclosed including a data decoder circuit, an error handling circuit and a syndrome checker circuit. The data decoder circuit is operable to apply a data decode algorithm to a decoder input to yield a decoded output, and to calculate a syndrome indicating an error level for the decoded output. The error handling circuit is operable to determine whether any errors in the decoded output involve user data bits. The syndrome checker circuit is operable to trigger the error handling circuit based at least in part on the syndrome.

Abstract: Various embodiments of the present invention are related to methods and apparatuses for decoding data, and more particularly to methods and apparatuses for multi-level layered LDPC decoding. For example, in one embodiment an apparatus includes a variable node processor and a check node processor. The variable node processor is operable to generate variable node to check node messages and to calculate perceived values based on check node to variable node messages. The check node processor is operable to generate the check node to variable node messages and to calculate checksums based on variable node to check node messages. The check node processor includes a min finder circuit operable to identify a minimum, a next minimum and an index of minimum value in the variable node to check node messages. The variable node processor and check node processor are operable to perform layered multi-level decoding.

Abstract: A data processing system is disclosed including a decoder circuit, syndrome calculation circuit and hash calculation circuit. The decoder circuit is operable to apply a decoding algorithm to a decoder input based on a first portion of a composite matrix to yield a codeword. The syndrome calculation circuit is operable to calculate a syndrome based on the codeword and on the first portion of the composite matrix. The hash calculation circuit is operable to calculate a hash based on a second portion of the composite matrix. The decoder circuit is also operable to correct the codeword on the hash when the syndrome indicates that the codeword based on the first portion of the composite matrix is correct but a second test indicates that the codeword is miscorrected.

Abstract: Various embodiments of the present invention provide systems and methods for data processing. For example, a data processing system is disclosed that includes a data encoder circuit. The data encoder circuit is operable to apply an encoding algorithm to an input data set in accordance with a multi-layer code structure including a first row and a last row to yield an encoded data set. The last row of the multi-layer code structure represented in the encoded data set conforms to an identity matrix.

Abstract: Embodiments of the present inventions are related to systems and methods for decoding data in an LDPC decoder with flexible saturation levels for variable node probability values.

Abstract: The disclosure is directed to a system and method for storing and processing check-node unit (CNU) messages utilizing random access memory (RAM). A decoder includes a layered array of CNUs configured to receive at least one variable-node unit (VNU) message associated with decoded bits of at least one data segment being operated upon by the decoder. The decoder further includes a CNU message converter configured to permutate at least one initial circulant of the VNU message to generate a converted CNU message having sub-circulants sized for RAM-based processing. The decoder further includes RAM configured to store sub-circulants of the converted CNU message at addressable memory blocks for parallel VNU processing.

Abstract: Various embodiments of the present inventions are related to adaptive calibration of NPFIR filters in a data detector. For example, an apparatus for calibrating a noise predictive filter is disclosed, including a data detector operable to generate detected values for data sectors and having an embedded noise predictive finite impulse response filter. The apparatus also includes a comparator operable to determine whether a quality metric for a current one of the data sectors meets a noise threshold. The apparatus also includes a filter calibration circuit operable to adapt a number of filter coefficients for the noise predictive finite impulse response filter based on the detected values for the data sectors, and to omit the detected values for the current one of the data sectors from adaptation for one of the filter coefficients if the quality metric for the current one of the data sectors does not meet the noise threshold.

Abstract: A memory in a LDPC decoding system includes data banks organized into a ping-pong memory. The ping-pong memory is connected to an interleaver and a de-interleaver. The interleaver interleaves L values; the interleaved L values are then stored in the ping-pong memory. A LDPC decoder retrieves L values from the ping-pong memory and returns E values to the ping-pong memory. The de-interleaver de-interleaves the E values and sends data to a LE queue and HD queue.