Embodiments of the present application provide a decoding method and a decoding device. The decoding device receives a second code word, which is transmitted from an encoding device based on a first code word. The first code word is generated by the encoding device based on a first encoded data sequence. After determining that a second encoded data sequence based on the second code word is not a correct replica of the first encoded data sequence, the decoding device performs a series of code element update processes to determining the correct replica of the first encoded data sequence.

A decoder is configured to perform, for a unit of data received by the decoder, a plurality of decoding iterations in which a plurality of messages are passed between a plurality of check nodes and a plurality of variable nodes, each message indicating a degree of reliability in an observed outcome of data. The decoder determines, for each of the plurality of decoding iterations, whether a trigger condition is satisfied based on an internal state of the decoder and, when a trigger condition is determined to be satisfied during a respective decoding iteration, scales one or more respective messages of the plurality of messages during a subsequent decoding iteration. The unit of data is decoded based on the plurality of decoding iterations and at least one scaled message resulting from the trigger condition being satisfied during the respective decoding iteration.

A decoder is configured to perform, for a unit of data received by the decoder, a plurality of decoding iterations in which a plurality of messages are passed between a plurality of check nodes and a plurality of variable nodes, each message indicating a degree of reliability in an observed outcome of data. The decoder determines, for each of the plurality of decoding iterations, whether a trigger condition is satisfied based on an internal state of the decoder and, when a trigger condition is determined to be satisfied during a respective decoding iteration, scales one or more respective messages of the plurality of messages during a subsequent decoding iteration. The unit of data is decoded based on the plurality of decoding iterations and at least one scaled message resulting from the trigger condition being satisfied during the respective decoding iteration.

Embodiments of the present application provide a decoding method and a decoding device. The decoding device receives a second code word, which is transmitted from an encoding device based on a first code word. The first code word is generated by the encoding device based on a first encoded data sequence. After determining that a second encoded data sequence based on the second code word is not a correct replica of the first encoded data sequence, the decoding device performs a series of code element update processes to determining the correct replica of the first encoded data sequence.

In some embodiments of the present invention, a data storage device includes a controller and a memory. The data storage device further includes an LDPC encoder and decoder, with the decoder implementing a dynamic precision-rescaling technique for improving performance. In one embodiment, the technique works by rescaling the binary representations of the input log-likelihood ratios (LLRs) and messages upon activation of decoder-state-based triggers. Various triggering functions are introduced, e.g., checking if the number of output LLRs smaller than a certain limit crosses a threshold, checking if the weight of a syndrome crosses a threshold, etc. This technique offers an improvement in the performance of the decoder.

Certain aspects of the present disclosure generally relate to methods and apparatus for decoding low density parity check (LDPC) codes, and more particularly to non-linear log-likelihood ratio quantization techniques for low-density parity-check (LDPC) decoder architecture.

An apparatus includes a memory and a controller. The memory may be configured to store data. The memory generally comprises a plurality of memory units each having a size less than a total size of the memory. The controller may be configured to generate a set of converted log likelihood ratios by scaling a set of original log likelihood ratios using a selected scalar value, wherein the controller determines the selected scalar value by generating a plurality of sets of scaled log likelihood ratios by scaling the set of original log likelihood ratios with a plurality of corresponding scalar values, calculating a plurality of respective correlation coefficients each measuring a similarity of a respective set of scaled log likelihood ratios to the set of original log likelihood ratios, and selecting the scalar value corresponding to the set of scaled log likelihood ratios whose respective correlation coefficient is highest as the selected scalar value.

A local area network (LAN) backbone is implemented within an environment such as a self-contained environment (e.g., an automobile, an aircraft, a train, a ship, and/or any other environment). The LAN backbone is affected by AWGN, NBI, and/or impulse noise (noise). The LAN backbone supports communications based on an Ethernet communication protocol (e.g., a 1000Base-T1 based system that includes at least one single twisted pair). A device receives a first LDPC coded signal via the LAN backbone and decodes it to recover an input signal of a control system. The device also uses soft information generated during the decoding to compensate for the noise affecting the LAN backbone and then processes the input signal to generate a control signal for the control system. The device then and encodes the control signal to generate a second LDPC coded signal and transmits the second LDPC coded signal via the LAN backbone.

An apparatus includes a memory and a controller. The memory may be configured to store data. The memory generally comprises a plurality of memory units each having a size less than a total size of the memory. The controller may be configured to generate a set of converted log likelihood ratios by scaling a set of original log likelihood ratios using a selected scalar value, wherein the controller determines the selected scalar value by generating a plurality of sets of scaled log likelihood ratios by scaling the set of original log likelihood ratios with a plurality of corresponding scalar values, calculating a plurality of respective correlation coefficients each measuring a similarity of a respective set of scaled log likelihood ratios to the set of original log likelihood ratios, and selecting the scalar value corresponding to the set of scaled log likelihood ratios whose respective correlation coefficient is highest as the selected scalar value.

An apparatus comprising a memory and a controller. The memory may be configured to process a plurality of read/write operations. The memory comprises a plurality of memory units each having a size less than a total size of the memory. The controller may be configured to perform error correction code decoding on the memory units. The controller may be configured to generate a plurality of original log likelihood ratios each comprising a real value. The controller may be configured to convert each of the original log likelihood ratios to a converted log likelihood ratio comprising a fixed point value. The conversion comprises (a) scaling down a magnitude of each of the original log likelihood ratios, and (b) rounding each of the original log likelihood ratios having a scaled down magnitude to the fixed point value.