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 processing loop circuit having a data detector and a soft decision decoder. The data detector provides a detected output, and the soft decision decoder applies a soft decoding algorithm to a derivative of the detected output to yield a soft decision output and a first hard decision output. The systems further include a queuing buffer and a hard decision decoder. The queuing buffer is operable to store the soft decision output, and the hard decision decoder accesses the soft decision output and applies a hard decoding algorithm to yield a second hard decision output.

Abstract: In exemplary embodiments, a skewed interleaving function for iterative code systems is described. The skewed interleaving function provides a skewed row and column memory partition and a layered structure for re-arranging data samples read from, for example, a first channel detector. An iterative decoder, such as an iterative decoder based on a low-density parity-check code (LDPC), might employ an element to de-skew the data from the interleaved memory partition before performing iterative decoding of the data, and then re-skew the information before passing decoded samples to the de-interleaver. The de-interleaver re-arranges the iterative decoded data samples in accordance with an inverse of the interleaver function before passing the decoded data samples to, for example, a second channel detector.

Abstract: The present invention is a programmable QC LDPC encoder for encoding user data. The encoder may be configurable for implementation with a read channel. The encoder may include a plurality of barrel shifter circuits. The barrel shifter circuits are configured for generating a plurality of parity bits based on interleaved user bits received by the encoder. The barrel shifter circuits are further configured for outputting the parity bits. The encoder may further include an encoder interleaver memory. The encoder interleaver memory may be communicatively coupled with the barrel shifter circuits and may receive the parity bits output from the barrel shifter circuits. The encoder interleaver may be configured for interleaving the parity bits. Further, the encoder may be configured for outputting the interleaved parity bits to a multiplexer. The barrel shifter circuits may generate the plurality of parity bits via an encoding algorithm: p=u*GT.

Abstract: Various embodiments of the present invention provide systems and methods for data processing. For example, a variable iteration data processing system is disclosed that includes a first detector, a second detector, a decoder and a unified memory buffer. An input data set is received by the first detector that performs a data detection and provides a first detected data set. The decoder receives a derivative of the first detected data set and performs a decoding operation that yields a decoded data set. In some cases, the derivative of the first detected data set is an interleaved version of the first detected data set. The decoded data set is written to a unified memory buffer. The first decoded data set is retrievable from the unified memory buffer and a derivative thereof is provided to the second detector. In some cases, the derivative of the decoded is a de-interleaved version of the decoded data set.

Abstract: In one embodiment, a turbo equalizer has a channel detector that receives equalized samples and generates channel soft-output values. An LDPC decoder attempts to decode the channel soft-output values to recover an LDPC-encoded codeword. If the decoder converges on a trapping set, then an adjustment block selects one or more of the equalized samples based on one or more specified conditions and adjusts the selected equalized samples. Selection may be performed by identifying the locations of unsatisfied check nodes of the last local decoder iteration and selecting the equalized samples that correspond to bit nodes of the LDPC-encoded codeword that are connected to the unsatisfied check nodes. Adjustment of the equalized samples may be performed using any combination of scaling, offsetting, and saturation. Channel detection is then performed using the adjusted equalized samples to generate an updated set of channel soft-output values, which are subsequently decoded by the decoder.

Abstract: In one embodiment, a turbo equalizer has an LDPC decoder, a channel detector, and one or more adjustment blocks for recovering an LDPC codeword from a set of input samples. The decoder attempts to recover the codeword from an initial set of channel soft-output values and generates a set of extrinsic soft-output values, each corresponding to a bit of the codeword. If the decoder converges on a trapping set, then the channel detector performs detection on the set of input samples to generate a set of updated channel soft-output values, using the extrinsic soft-output values to improve the detection. The one or more adjustment blocks adjust at least one of (i) the extrinsic soft-output values before the channel detection and (ii) the updated channel soft-output values. Subsequent decoding is then performed on the updated and possibly-adjusted channel soft-output values to attempt to recover the codeword.

Abstract: In one embodiment, an LDPC decoder has a controller and one or more check-node units (CNUs). Each CNU is selectively configurable to operate in (i) a first mode that updates check-node (i.e., R) messages without averaging and (ii) a second mode that that updates R messages using averaging. Initially, each CNU is configured in the first mode to generate non-averaged R messages, and the decoder attempts to recover an LDPC-encoded codeword using the non-averaged R messages. If the decoder is unable to recover the correct codeword, then (i) the controller selects the averaging mode, (ii) each CNU is configured to operate in the second mode to generate averaged R messages, and (iii) the decoder attempts to recover the correct codeword using the averaged R messages. Averaging the R messages may slow down the propagation of erroneous messages that lead the decoder to convergence on trapping sets.

Abstract: Various embodiments of the present invention provide systems and methods for data regeneration. For example, a method for data regeneration is disclosed that includes receiving a data input derived from a medium, determining a media defect corresponding to the data input, and determining an attenuation factor associated with the defective medium. Based at least in part on the determination that the medium is defective, amplifying the data input by a derivative of the attenuation factor to regenerate the data.