A hardware efficient implementation of a threshold modified attenuated min-sum algorithm (TAMSA”) and a threshold modified offset min-sum algorithm (“TOMSA”) that improve the performance of a low density parity-check (“LDPC”) decoder by reducing the bit error rate (“BER”) compared to the conventional attenuated min-sum algorithm (“AMSA”), offset min-sum algorithm (“OMSA”), and the min-sum algorithm (“MSA”). Embodiments of the present invention preferably use circuit optimization techniques, including a parallel computing structure and lookup tables, and a field-programmable gate array (“FPGA”) or application specific integrated circuit (“ASIC”) implementation.

Read data associated with Flash storage is received. One of a plurality of LLR mapping tables is selected and a set of one or more LLR values is generated using the read data and the selected LLR mapping table, where each LLR value in the set of LLR values has a same finite precision as a finite-precision low-density parity-check (LDPC) decoder. Error-corrected read data is generated using the set of LLR values, where the finite-precision LDPC decoder has the same finite precision as the set of LLR values. The error-corrected read data is output.

Techniques related to improving power consumption of an LDPC decoder are described. In an example, the LDPC decoder uses a message passing algorithm between variable nodes and check nodes. A check node processing unit that generates check node to variable node messages implements a plurality of check node processing mode. Operation in each mode consumes a certain amount of power while providing a certain accuracy. Depending on a reliability of a variable node to check node message received by the check node processing unit, an appropriate check node processing mode is selected and used to generate a corresponding check node to variable node message. The reliability can be estimated for a set of variable node to check node messages based on, for instance, syndrome-related parameters.

A method and apparatus for decoding quasi-cyclic LDPC codes using a vertical layered iterative message passing algorithm. The algorithm of the method improves the efficiency of the check node update by using one or more additional magnitudes, predicted with predictive magnitude maps, for the computation of messages and update of the check node states. The method allows reducing the computational complexity, as well as the storage requirements, of the processing units in the check node update. Several embodiments for the apparatus are presented, using one or more predictive magnitude maps, targeting significant savings in resource usage and power consumption, while minimizing the impact on the error correction performance loss.

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.

Provided herein may be an electronic device using an artificial neural network. The electronic device may include a training data generator configured to determine an input vector corresponding to a trapping set, detected during error correction decoding corresponding to a codeword, and a target vector corresponding to the input vector, and a training component configured to train an artificial neural network based on supervised learning by inputting the input vector to an input layer of the artificial neural network and by inputting the target vector to an output layer of the artificial neural network.

A polar decoder kernal is described. The polar decoder kernal includes a processing unit having: at least one input configured to receive at least one input Logarithmic Likelihood Ratio, LLR; a logic circuit configured to manipulate the at least one input LLR; and at least one output configured to output the manipulated at least one LLR. The logic circuit of the processing unit includes only a single two-input adder to manipulate the at least one input LLR, and the input LLR and manipulated LLR are in a format of a fixed-point number representation that comprises a two's complement binary number and an additional sign bit.

Memory controllers, decoders and methods execute a hybrid decoding scheme with exchange of information between multiple decoders. A first type of decoder performs initial decoding of a codeword when an unsatisfied check (USC) count of the codeword is less than a threshold, and a second type of decoder performs decoding of a codeword when the USC count of the codeword is greater than or equal to the threshold. During decoding by one of the decoders, the controller generates information from an output of that decoder and send the information to the other decoder, which the other decoders uses in decoding. The codeword is routed and rerouted between the decoders, which may include a q-bit bit-flipping (q-BF) decoder and a min-sum (MS) decoder, based on conditions that occur during decoding.

A reception unit for use in a data link and a method for error correction on a reception word in a data link are specified. A low-density parity-check code, LDPC code, is used to iteratively adapt the reception word by virtue of bit node messages and check node messages being exchanged. The check node messages that are transmitted to the bit nodes are quantized in three levels and adopt the values −1, 0 or +1. The method may thus be implemented with low computational expenditure.

An embodiment of an electronic apparatus may comprise one or more substrates, and a decoder coupled to the one or more substrates, the decoder including logic to perform a first decode stage with a first fixed quantization width, and perform a second decode stage with a second fixed quantization width that is different from the first fixed quantization width. Other embodiments are disclosed and claimed.