A decoding method for low density parity code is provided. The method includes performing an iterative decoding operation for a codeword, wherein a plurality of Log-Likelihood-Ratios correspond respectively to a plurality of data bits of the codeword; determining whether the iterative decoding operation is successful; determining whether a perturbation condition is met if the iterative decoding operation is not successful; performing protect operation for a first Log-Likelihood-Ratio among the Log-Likelihood-Ratios, and performing a perturbation operation for a plurality of second Log-Likelihood-Ratios among the Log-Likelihood-Ratios, wherein the second Log-Likelihood-Ratios are different to the first Log-Likelihood-Ratio; and re-performing the iterative decoding operation for the codeword after finishing the perturbation operation.

One example of layer-by-layer error correction can include iteratively error correcting the codeword on a layer-by-layer basis with the first error correction circuit in a first mode and determining on the layer-by-layer basis whether a number of parity errors in a particular layer is less than a threshold number of parity errors. The codeword can be transferred to a second error correction circuit when the number of parity errors is less than the threshold number of parity errors. The codeword can be iteratively error corrected with the first error correction circuit in a second mode when the number of parity errors is at least the threshold number of parity errors. The threshold number of parity errors can be at least partially based on an adjustable code rate of the first error correction circuit or the second error correction circuit.

A decoding method and device are provided. The method includes: decoding grouped original data in parallel by a first decoding unit to obtain grouped decoded data; decoding merged grouped decoded data by a second decoding unit to obtain decoded data; and if the sum of the lengths of the decoded data is an integer multiple of an upper limit of the decoding times of the second decoding unit, updating the first decoding unit and the second decoding unit, and if the sum of the lengths of the decoded data is not an integer multiple of the upper limit of the decoding times of the second decoding unit, updating the second decoding unit to obtain the decoded data again, until the sum of the lengths of the decoded data is equal to a decoding length, and merging the decoded data to serve as a decoding result of the original data.

Embodiments of the present disclosure relate to sequential decoding of moderate length low-density parity-check (LDPC) codes via reinforcement learning (RL). The sequential decoding scheme is modeled as a Markov decision process (MDP), and an optimized cluster scheduling policy is subsequently obtained via RL. A software agent is trained to schedule all check nodes (CNs) in a cluster, and all clusters in every iteration. A new RL state space model is provided that enables the RL-based decoder to be suitable for longer LDPC codes.

Embodiments of the present disclosure provide a scheme for decoding over a small subgraph which highly likely includes some errors. A controller is configured to: control the first decoder to decode the data, read from the memory device, using a parity check matrix for the error correction code; extract one or more subgraphs from the entire bipartite graph of the parity check matrix, which is defined by a plurality of variable nodes and a plurality of check nodes when a particular condition satisfied; and control the second decoder to decode the decoding result of the first decoder using a submatrix of the parity check matrix corresponding to the extracted subgraphs.

Provided is an error correction decoding device including an inner code iterative decoding circuit, a parameter generation circuit, and a first control circuit. The first control circuit is configured to: receive, as parameters, a threshold and a maximum iteration count which are generated by the parameter generation circuit; and compare, when an iteration count does not reach the maximum iteration count, a non-zero-value count sequentially output from the inner code iterative decoding circuit and the threshold set for each iteration count, and stop an iterative operation by the inner code iterative decoding circuit when a result of the comparison satisfies a stopping condition set in advance.

Devices and techniques for variable read throughput control in a storage device are described herein. Bits from can be received for a read that is one of several types assigned to reads. A low-density parity-check (LDPC) iteration maximum can be set based on the type. LDPC iterations can be performed up to the LDPC iteration maximum and a read failure signaled in response to the LDPC iterations reaching the LDPC iteration maximum.

Systems and methods are provided for concatenated error-correcting coding. An apparatus may include a Low-Density Parity-Check (LDPC) decoder configured to perform an iterative LDPC decoding process on bits of an LDPC codeword, a Bose—Chaudhuri—Hocquenghem (BCH) decoder coupled to the LDPC decoder and a BCH scheduler coupled to the LDPC decoder and the BCH decoder. The LDPC codeword may be generated by LDPC encoding a Bose—Chaudhuri—Hocquenghem (BCH) codeword and the BCH codeword may be generated by BCH encoding a data unit. The BCH scheduler may be configured to determine whether a triggering condition for the BCH decoder is met after each iteration of the iterative LDPC decoding process and activate the BCH decoder to operate on an intermediate decoding result of the LDPC decoder if the triggering condition for the BCH decoder is met.

An electronic device and an operating method of an electronic device are provided. The operating method includes configuring a self-correction condition for adjusting an information deletion and dropout rate, performing iterative decoding on the received information using decoding factors and a self-correction technique, determining whether decoding of the codeword succeeds or fails, based on a result of the decoding, storing a received signal and the codeword which are successfully decoded, based on a determination result, and optimizing the decoding factors, based on the stored received signal and codeword.

A low-density parity-check (LDPC) decoder performs check node computations as N different segments of the check nodes which have connections only to a codeword segment of length C/N bits as well as check nodes that have connections across the entire codeword of length C. The decoder can include a controller or other compute hardware to decode the codeword, including to perform computations for separate segments of C/N bits of the codeword. The system can perform computations including adjustment of the decode computations based on an expected error rate for selected segments of the codeword.