An error correction apparatus may include: an input component configured to receive data; an error information generation component having a first error detection ability to detect L errors and a second error detection ability to detect K errors, where L is a positive integer and K is an integer larger than L, and configured to generate error information including the number of errors contained in the received data and the positions of the errors, based on the first error detection ability, and generate the error information based on the second error detection ability, when the error information is not generated on the basis of the first error detection ability; an error correction component configured to correct the errors of the received data based on the generated error information; and an output component configured to output the corrected data.

The present invention is directed to data communication systems and methods thereof. According to various embodiments, the present invention provides a communication with a reconfigurable forward-error-correction (FEC) module. The FEC module processes data received from two or more communication lanes, and depending on the mode of operation, the FEC module can combine data from the two or more communication lanes and perform error correction on the combined data, or the FEC module can processes data from the two communications lanes separately and perform error correction independently for the each of the data communication lanes. There are other embodiments as well.

Examples disclosed herein relate to very large-scale integration (VLSI) circuit implementations of list decode circuits. In accordance with some examples disclosed herein, a list decode circuit may include a syndrome calculation circuit, a symbol erasure circuit, an erasure syndrome calculation circuit and a Berlekamp-Massey algorithm circuit (BMA), and an error locator polynomial (ELP) evaluation circuit. The syndrome calculation circuit may calculate a baseline syndrome and erasure syndrome calculation circuit may calculate erasure syndromes from error locator polynomials calculated by the symbol erasure circuit. The BMA circuit may use the calculated syndromes to generate a series of ELPs, which may be used by the ELP evaluation circuit to identify error locations in a codeword.

An error correction circuit includes a syndrome calculator suitable for generating syndromes from an n-bit codeword for a single unit of time, an error location polynomial calculator suitable for generating error location polynomial coefficients based on the syndromes provided for the single unit of time, an error location calculator suitable for calculating error locations based on the error location polynomial coefficients for the single unit of time, and an error corrector suitable for correcting errors of the codeword based on the error locations for the single unit of time. The error correction circuit operates in a pipelining manner.

The present invention is directed to data communication systems and methods thereof. According to various embodiments, the present invention provides a communication with a reconfigurable forward-error-correction (FEC) module. The FEC module processes data received from two or more communication lanes, and depending on the mode of operation, the FEC module can combine data from the two or more communication lanes and perform error correction on the combined data, or the FEC module can processes data from the two communications lanes separately and perform error correction independently for the each of the data communication lanes. There are other embodiments as well.

A soft-decision decoding computes a first syndrome polynomial in accordance with a received word, computes a second syndrome polynomial by multiplying the first syndrome polynomial by a locator polynomial based on locations of erasures within the received word, finds a basis and private solution to an affine space of polynomials that solve key equations based on the second syndrome polynomial, determines a weak set of a locations of symbols in the received word with confidence below a certain confidence level, computes a matrix from the basis, the private solution and the weak set, determines sub-matrices in the matrix whose rank is equal to a rank of the matrix, determines error locator polynomial (ELP) candidates from the sub-matrices, the basis, and the private solution, and corrects the received word using a selected one of the ELP candidates.

Provided is a memory system comprising a plurality of memory components; and a controller in communication with the plurality of memory components and configured to perform error correction code (ECC) decoding on a received word read from the plurality of memory components. The ECC decoding is configured to (i) detect one or more random errors in a portion of the received word, the portion corresponding to one of the components within the plurality, and (ii) correct the detected random errors; and when the correcting of the detected random errors fails, iteratively marking symbols in the remaining portions of the received word as erasures.

Examples disclosed herein relate to very large-scale integration (VLSI) circuit implementations of list decode circuits. In accordance with some examples disclosed herein, a device may include a first and second polynomial evaluation circuit, a field division circuit, a discrepancy filter, and an enhanced error locator polynomial (ELP) circuit. The first and second polynomial evaluation circuits may respectively evaluate a first and second polynomial output from a Berlekamp-Massey algorithm over a plurality of values in a finite field. The field division circuit may divide the outputs from the evaluations to generate a plurality of speculative discrepancy values for an additional iteration of the Berlekamp-Massey algorithm. The discrepancy filter circuit may filter the speculative discrepancy values down to a list of potentially valid discrepancy values that may be used by the enhanced ELP circuit to generate an enhanced ELP.

A method may include generating a status signal, the status signal to indicate a status of Error-Locator-Polynomial (ELP) determination by an ELP determination circuit; and controlling the ELP determination by the ELP determination circuit at least partially responsive to a value of the status signal.

An error correction code (ECC) decoder includes a finite state machine (FSM) controller and a shared logic circuit. The FSM controller generates a first control signal and a second control signal each corresponding to a certain state. The shared logic circuit includes a plurality of shared Galois field (GF) multipliers, a plurality of shared XOR arithmetic elements, and a plurality of shared multiplexers (MUXs), which are used for an operation selected between a syndrome operation, an error location polynomial operation, an error location operation and an error correction operation, in response to the first and second control signals.