A processing device in a memory sub-system reads a sense word from a memory device and executes a plurality of parity check equations on corresponding subsets of the sense word to determine a plurality of parity check equation results. The processing device further determines a syndrome for the sense word using the plurality of parity check equation results and determines whether the syndrome for the sense word satisfies a codeword criterion. Responsive to the syndrome for the sense word not satisfying the codeword criterion, the processing device performs an iterative low density parity check (LDPC) correction process using a scaled bit flip threshold to correct one or more errors in the sense word.

Apparatuses and methods related to correcting errors can include using FD decoders and AD decoders. Correcting errors can include receiving input data from the memory array, performing a plurality of operations associated with an error detection on the input data, and providing, based on processing the input data, output data, a validation flag, and a plurality of parity bits to a second decoder hosted by a controller coupled to the memory device.

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.

A system is provided to receive, by a controller, a first request to read a first page of data stored in a storage device which comprises a plurality of non-volatile memory units. The system accumulates, by a calculation module, a syndrome associated with the first page of data to obtain a syndrome weight. In response to determining that the syndrome weight is less than a predetermined threshold, the system writes, by the controller, the first page of data to a destination page of the storage device. In response to determining that the syndrome weight is greater than the predetermined threshold and that a current number of retries is less than a predetermined number: the system executes a retry process between the calculation module and a data flip engine of the controller to update the syndrome weight; and the system increments the current number of retries.

A decoding method is provided, and the method includes performing a decoding operation on a plurality of data bit value sets of a codeword. The decoding operation includes following steps: (1) obtaining a syndrome of the data bit value sets; (2) determining whether the codeword is correct or incorrect according to the latest obtained syndrome, wherein if the codeword is correct, the decoding operation is ended, wherein if the codeword is wrong, continuing to step (3) to start an iterative operation; (3) obtaining a plurality of error value sets respectively corresponding to the data bit value sets, wherein in response to obtaining a first error value set, steps (4) and (5) are performed simultaneously; (4) performing an extreme value search operation; (5) performing a bit-flipping operation; and (6) performing a syndrome calculation operation after the step (5) is completed, and performing step (2).

A method of soft decoding received signals. The method comprising defining quantisation intervals for a signal value range, determining a number of bits in each quantisation interval that are connected to unsatisfied constraints, providing, the number of bits in each quantisation interval that are connected to unsatisfied constraints, as an input to a trained model, wherein the trained model has been trained to cover an operational range of a device for soft decoding of signals, determining, using the trained model, a log likelihood ratio for each quantisation interval, and performing soft decoding using the log likelihood ratios.

A processing device in a memory system reads a sense word from a memory device and executes a plurality of parity check equations on corresponding subsets of the sense word to determine a plurality of parity check equation results. The processing device determines a syndrome for the sense word using the plurality of parity check equation results, determines whether the syndrome for the sense word satisfies a codeword criterion, and responsive to the syndrome for the sense word not satisfying the codeword criterion, performs an iterative LDPC correction process, wherein at least one iteration after a first iteration in the LDPC correction process uses a criterion based at least partially on a previous iteration or partial iteration.

Systems, memory controllers, decoders and methods perform decoding by exploiting differences among word lines for which soft decoding fails (failed word lines). Such decoding generates extrinsic information for codewords of failed word lines based on the soft decoding. The soft information obtained during the soft decoding is updated based on the extrinsic information, and the updated soft information is propagated across failed word lines. Low-density parity-check (LDPC) decoding of codewords of failed word lines is performed with the updated soft information.

The present disclosure includes apparatuses and methods related to stopping criteria for layered iterative error correction. A number of methods can include receiving a codeword with an error correction circuit, iteratively error correcting the codeword with the error correction circuit including parity checking the codeword on a layer-by-layer basis and updating the codeword after each layer. Methods can include stopping the iterative error correction in response to a parity check being correct for a particular layer.

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).