A method, system, and non-transitory computer-readable recording medium of decoding a signal are provided. The method includes receiving signal to be decoded, where signal includes at least one symbol; decoding signal in stages, where each at least one symbol of signal is decoded into at least one bit per stage, wherein Log-Likelihood Ratio (LLR) and a path metric are determined for each possible path for each at least one bit at each stage; determining magnitudes of the LLRs; identifying K bits of the signal with smallest corresponding LLR magnitudes; identifying, for each of the K bits, L possible paths with largest path metrics at each decoder stage for a user-definable number of decoder stages; performing forward and backward traces, for each of the L possible paths, to determine candidate codewords; performing a Cyclic Redundancy Check (CRC) on the candidate codewords; and stopping after a first candidate codeword passes the CRC.

A turbo decoder circuit performs a turbo decoding process to recover a frame of data symbols from a received signal comprising soft decision values for each data symbol of the frame. The data symbols of the frame have been encoded with a turbo encoder comprising upper and lower convolutional encoders which can each be represented by a trellis, and an interleaver which interleaves the encoded data between the upper and lower convolutional encoders. The turbo decoder circuit comprises a clock, a configurable network circuitry for interleaving soft decision values, an upper decoder and a lower decoder. Each of the upper and lower decoders include processing elements, which are configured, during a series of consecutive clock cycles, iteratively to receive, from the configurable network circuitry, a priori soft decision values pertaining to data symbols associated with a window of an integer number of consecutive trellis stages representing possible paths between states of the upper or lower convolutional encoder. The processing elements perform parallel calculations associated with the window using the a priori soft decision values in order to generate corresponding extrinsic soft decision values pertaining to the data symbols. The configurable network circuitry includes network controller circuitry which controls a configuration of the configurable network circuitry iteratively, during the consecutive clock cycles, to provide the a priori soft decision values for the upper decoder by interleaving the extrinsic soft decision values provided by the lower decoder, and to provide the a priori soft decision values for the lower decoder by interleaving the extrinsic soft decision values provided by the upper decoder. The interleaving performed by the configurable network circuitry controlled by the network controller is in accordance with a predetermined schedule, which provides the a priori soft decision values at different cycles of the one or more consecutive clock cycles to avoid contention between different a priori soft decision values being provided to the same processing element of the upper or the lower decoder during the same clock cycle. Accordingly the processing elements can have a window size which includes a number of stages of the trellis so that the decoder can be configured with an arbitrary number of processing elements, making the decoder circuit an arbitrarily parallel turbo decoder.

Methods and systems for managing decoding of control channel on a multi-SIM UE. A method includes receiving, by the UE, the plurality of control channels from at least one Base Station (BS), the plurality of control channels corresponding to a plurality of Subscriber Identity Modules (SIMs), selecting, by the UE, a respective decoder for each of the plurality of SIMs, and decoding, by the UE, each respective control channel among the plurality of control channels using the respective decoder for a respective SIM among the plurality of SIMs, the respective SIM corresponding to the respective control channel.

Method for decoding signal includes receiving signal, where signal includes at least one symbol; decoding signal in stages, where each at least one symbol of signal is decoded into at least one bit per stage, wherein Log-Likelihood Ratio (LLR) for each at least one bit at each stage is determined, and identified in vector L.sub.APP; performing Cyclic Redundancy Check (CRC) on L.sub.APP, and stopping if L.sub.APP passes CRC; otherwise, determining magnitudes of LLRs in L.sub.APP; identifying K LLRs in L.sub.APP with smallest magnitudes and indexing K LLRs as r={r(1), r(2), . . . , r(K)}; setting L.sub.max to maximum magnitude of LLRs in L.sub.APP or maximum possible LLR quantization value; setting v=1; generating {tilde over (L)}.sub.A(r(k))=L.sub.A(r(k))L.sub.maxv.sub.ksign[L.sub.APP(r(k))], for k=1, 2, . . . , K; decoding with {tilde over (L)}.sub.A to identify {tilde over (L)}.sub.APP, wherein {tilde over (L)}.sub.APP is LLR vector; and performing CRC on {tilde over (L)}.sub.APP, and stopping if {tilde over (L)}.sub.APP passes CRC or v=2.sup.K-1; otherwise, incrementing v and returning to generating {tilde over (L)}.sub.A(r(k)).

An information handling system may include at least one processor and a memory coupled to the at least one processor. The information handling system may be configured to receive data comprising a plurality of data chunks; perform deduplication on the plurality of data chunks to produce a plurality of unique data chunks; determine a compression ratio for respective pairs of the unique data chunks; determine a desired compression order for the plurality of unique data chunks based on the compression ratios; combine the plurality of unique data chunks in the desired compression order; and perform data compression on the combined plurality of unique data chunks.

A method and apparatus for obtaining data from a memory, estimating a probability of data values of the obtained data based on at least one of a source log-likelihood ratio and a channel log-likelihood ratio, wherein each bit in the obtained data has an associated log-likelihood ratio, determining at least one data pattern parameter for the data and performing a decoding process using the at least one data pattern parameters to determine a decoded data set.

Provided is an optical transmission/reception device including an error correction decoding unit (36) for decoding a received sequence encoded with an LDPC code, in which the error correction decoding unit (36) is configured to perform decoding processing using a parity check matrix (70) of a spatially-coupled LDPC code, which includes a plurality of parity check sub-matrices (71) combined with each other, in which the decoding processing is windowed decoding processing that uses a window (80) over one or more parity check sub-matrices (71), and in which a window size of the window (80) and a decoding iteration count due to throughput and requested correction performance are variable and input from a control circuit (12) connected to the error correction decoding device (36).

A method and apparatus for obtaining data from a memory, estimating a probability of data values of the obtained data based on at least one of a source log-likelihood ratio and a channel log-likelihood ratio, wherein each bit in the obtained data has an associated log-likelihood ratio, determining at least one data pattern parameter for the data and performing a decoding process using the at least one data pattern parameters to determine a decoded data set.

A method of operating a memory controller that performs decoding by using a parity check matrix corresponding to a convolution-type low density parity check (LDPC) code includes receiving a codeword from at least one memory device, the codeword including a first sub-codeword and a second sub-codeword; decoding a first sub-codeword into first data by using first sliding windows in a first direction, set based on a first sub-matrix included in the parity check matrix and associated with the first sub-codeword; and decoding a second sub-codeword into second data by using second sliding windows in a second direction, set based on a second sub-matrix included in the parity check matrix and associated with the second sub-codeword.

A method and apparatus for obtaining data from a memory, estimating a probability of data values of the obtained data based on at least one of a source log-likelihood ratio and a channel log-likelihood ratio, wherein each bit in the obtained data has an associated log-likelihood ratio, determining at least one data pattern parameter for the data and performing a decoding process using the at least one data pattern parameters to determine a decoded data set.