Embodiments of the invention provide an elementary check node processing unit (300) implemented in a check node processing unit of a non-binary error correcting code decoder, the elementary check node processing unit (300) being linked to a variable node processing unit (305) and being configured to receive a first message and a second message, each message comprising at least two components. The elementary check node processing unit (300) comprises a calculation unit (301) which determines two or more auxiliary components from the components comprised in the first message and from the components comprised in the second message, an auxiliary component comprising an auxiliary reliability metrics. The calculation unit (301) also determines, in association with each of the two or more auxiliary components, decoding performance values. The elementary check node processing unit (300) also comprises a selection unit (303) which selects, among the two or more auxiliary components, the auxiliary component that is associated with the optimal decoding performance values and determines an offset value from the auxiliary reliability metrics comprised in the selected auxiliary component. The elementary check node processing unit (300) then transmits the offset value and a selected set of auxiliary components among the two or more auxiliary components to the variable node processing unit (305).

Wireless communications systems and methods related to wireless communications in a system are provided. A wireless communication device may compute a plurality of log-likelihood ratios (LLRs) based on a received communication signal. At least a first LLR and a second LLR of the plurality of LLRs represent the same first bit in the communication signal. The wireless communication device may combine the first LLR and the second LLR to decode the first bit and transmit a report indicating channel information. The channel information may be based at least in part on the plurality of LLRs before the combining of the first and second LLRs.

A data storage device may include a memory and a controller that includes an error correction coding (ECC) decoder configured to operate in a plurality of decoding modes. The controller also includes a bit error rate estimator configured to determine, based on data received from the memory, bit error rate estimates for ECC codewords from the memory. The controller also includes a data path management unit configured to reorder the codewords based on the bit error rate estimates and to provide the reordered codewords to the ECC decoder.

In an illustrative example, an apparatus includes a controller and a memory that is configured to store a codeword of a convolutional low-density parity-check (CLDPC) code. The codeword has a first size and includes multiple portions that are independently decodable and that have a second size. The controller includes a CLDPC encoder configured to encode the codeword and a CLDPC decoder configured to decode the codeword or a portion of the codeword.

In an illustrative example, a method includes sensing at least a portion of a representation of a convolutional low-density parity-check (CLDPC) codeword stored at a memory of a data storage device. The method further includes receiving the portion of the representation of the CLDPC codeword at a controller of the data storage device. The method further includes performing one or more management operations associated with the memory based on an estimated number of errors of the portion of the representation of the CLDPC codeword.

A decoding method includes: receiving a plurality of subcarrier signals each including encoded data; acquiring a predetermined amount of data from each of the plurality of subcarrier signals; correcting errors in the plurality of subcarrier signals by performing decoding arithmetic processing on the respective predetermined amounts of data acquired from the plurality of subcarrier signals in a time-division manner; and causing the decoding arithmetic processing to be consecutively performed on each of the predetermined amounts of data a predetermined number of times.

There is provided a method comprising, at a data receiver, receiving a channel codeword from a data sender over a noisy data channel, generating a plurality of candidate error patterns, the plurality of candidate error patterns comprising a plurality of one-bit error patterns and a plurality of multiple-bit error patterns generated from the plurality of one-bit error patterns, evaluating the plurality of candidate error patterns for codebook membership, based on the channel codeword, and outputting an estimated codeword when a codebook membership constraint is satisfied for a given candidate error pattern.

The present disclosure includes apparatuses and methods for estimating an error rate associated with memory. A number of embodiments include sensing data stored in a memory, performing an error detection operation on the sensed data, determining a quantity of parity violations associated with the error detection operation, and estimating an error rate associated with the memory based on the determined quantity of parity violations.

The present application provides a data processing method, a data processing device, a decoder, a network device and a computer-readable storage medium. The data processing method includes: classifying log likelihood ratio (LLR) elements according to a modulation mode, a preset decoder quantization threshold and a signal-to-noise ratio, to obtain a classification result; extracting feature information of each category in the classification result; calculating to obtain a scale factor according to the feature information of each category; and scaling the LLR elements according to the scale factor.

A memory device to estimate signal and noise characteristics of a group of memory cells in response to a command identifying the group of memory cells. For example, the memory device measures first signal and noise characteristics of the group of memory cells based on first test voltages, compute using the first signal and noise characteristics an optimized read voltage of the group of memory cells, and estimate, using the first signal and noise characteristics, second signal and noise characteristics of the group of memory cells, where the second signal and noise characteristics are based on second test voltages that are centered at the optimized read voltage of the group of memory cells.