A low-density parity-check (LDPC) decoder comprising a pre-processor, a core decoder, and a post-processor. The pre-processor is configured to transform a received log-likelihood-ratio (LLR) sequence into a form that enables the core decoder to toggle at a reduced rate during iterative decoding processing thereof. Upon stoppage of the decoding processing corresponding to the LLR sequence, the post-processor operates to apply a complementary transformation to the output of the core decoder, which recovers the corresponding codeword of the LDPC code. An example embodiment of the LDPC decoder operating in this manner may be able to beneficially reduce the power consumption therein by about 10%.

Methods and apparatus for training a Neural Network to recover a codeword of a Forward Error Correction (FEC) code are provided. Trainable parameters of the Neural Network are optimised to minimise a loss function. The loss function is calculated by representing an estimated value of the message bit output from the Neural Network as a probability of the value of the bit in a predetermined real number domain and multiplying the representation of the estimated value of the message bit by a representation of a target value of the message bit. Training a neural network may be implemented via a loss function.

A memory system includes a non-volatile memory and a memory controller. The memory controller is configured to read a received word from the non-volatile memory, estimate noise by using a plurality of different models for estimating the noise included in the received word to obtain a plurality of noise estimation values, select one noise estimation value from the plurality of noise estimation values, update the received word by using a value obtained by subtracting the selected noise estimation value from the read received word, and decode the updated received word by using a belief-propagation method.

Methods, systems, and devices for syndrome check functionality to differentiate between error types are described. A host system, a memory system, or some combination of both may include syndrome check circuitry to provide enhanced error diagnostic capabilities for data communicated between the host system and the memory system. The syndrome check circuitry may receive a first signal from the memory system indicating whether the memory system detected and attempted to correct an error in the data and may receive a second signal from the host system indicating whether the host system detected an error in the received data. The syndrome check circuitry may compare the first signal and the second signal using a set of logic gates to differentiate between different combinations of errors detected at one or both of the memory system or the host system.

A data processing system includes a storage medium, and a controller including a data processing block, configured to receive data from a host, transmit the received data to the storage medium, read data from the storage medium in response to a read request from the host, and decode the read data by the data processing block according to multiple decoding modes. The data processing block includes a first decoder and a second decoder, and is configured to manage the first decoder and the second decoder to run the decoding for the read data, and activate a fast decoding having shorter latency than a normal decoding after a fast decoding condition is satisfied.

A first communication device and a second communication device for an iterative code design are provided. The first communication device generates and transmits sets of parity symbols and receives the transmitted sets of parity symbols from a second communication device. The sets of parity symbols are generated based on using a first generator device and based previously transmitted systematic symbols and computed noise values. The second communication device buffers received systematic symbols and sets of parity symbols and jointly decodes them. Thereby, an iterative code design is provided with improved performance. Furthermore, the disclosure also relates to corresponding methods and a computer program.

Methods and systems for improving the robustness of wireless communications. The methods and systems provided transmit data packets over one or more isochronous stream and transmit one or more supplemental data packets over the same time intervals. The one or more supplemental data packets are used to recreate and/or enhance at least a portion of one or more data packets of the plurality of data packets that have already been sent. Alternatively, the one or more supplemental data packets are used to create and/or enhance at least a portion of one or more data packets of the plurality of data packets that will be received during the next isochronous intervals. The methods and system described herein allow for increased robustness by allowing for better retransmission with correctly received packets.

A signal receiving method include: demodulating a signal received from a transmitting apparatus to generate values based on 1024-quadrature amplitude modulation (QAM); splitting the values into a plurality of groups; deinterleaving the plurality of groups based on a preset interleaving order; and decoding values of the deinterleaved plurality of groups based on a low density parity check (LDPC) code, a code rate of the LDPC code being 6/15 and a code length of the LDPC code being 64800, wherein the plurality of groups are deinterleaved based on a predetermined equation.

The invention relates to a detection circuit, a detection method, an electronic device, and a computer-readable storage medium. The detection circuit includes: an error correction coding module configured to obtain data to be checked, and perform, based on an error correction coding logic, error correction coding on the data to be checked, to output target coded data; a data mask interface configured to receive comparison coded data, where the comparison coded data is associated with ideally coded data of the data to be checked; a comparison checking module configured to perform a checking comparison on the target coded data and the comparison coded data to output a checking comparison result; and a logic verification module configured to determine a coding verification result of the error correction coding module based on the checking comparison result. The comparison checking data verifies correctness of the error correction coding logic.

Systems and methods are provided for decoding data read from non-volatile storage devices. A method may comprise receiving a chunk of data read from a physical location of a non-volatile storage device and searching a memory for soft information associated with the physical location using a unique identifier associated with the physical location. The soft information may be generated from one or more previous decoding processes on previous data from the physical location. The method may further comprise retrieving the soft information identified by the unique identifier associated with the physical location from the memory, decoding the chunk of data with the soft information indicating reliability of bits in the chunk of data and updating the soft information with decoding information generated during the decoding.