Abstract:
An optimal read threshold estimation method includes determining a flip difference corresponding to an optimal step size Δopt, estimating a first slope m1 at a first read point and a second slope m2 at a second read point, and obtaining an optimal read threshold (XLPopt) as the intersection of a first line with the first slope m1 and a second line with the second slope m2.
Abstract:
A soft output detector is programmed with a first set of parameters. Soft information is generated according to the first set of parameters, including likelihood information that spans a maximum likelihood range. Error correction decoding is performed on the soft information generated according to the first set of parameters. In the event decoding is unsuccessful, the soft output detector is programmed with a second set of parameters, soft information according is generated to the second set of parameters (including likelihood information that is scaled down from the maximum likelihood range), and error correction decoding is performed on the soft information generated according to the second set of parameters.
Abstract:
Memory systems may include a memory storage, and a controller suitable for measuring a write amplification (WA) value of a first, current window, comparing the WA value for the first window with a previous WA value for a previous window, and calculating and setting a value of a ratio threshold based on the comparison of the WA value for the current window threshold to the WA value of the previous window threshold.
Abstract:
A method for decoding low-density parity check (LDPC) codes, includes computing an initial syndrome of an initial output, obtaining an initial number of unsatisfied checks based on the computed initial syndrome, and when the initial number of unsatisfied checks is greater than zero, computing a reliability value with a parity check, performing a bit flip operation, computing a subsequent syndrome of a subsequent output, and ending decoding when a number of unsatisfied checks obtained based on the computed subsequent syndrome is equal to zero.
Abstract:
An amount of time and an error rate function are received, where the error rate function defines a relationship between a number of iterations associated with iterative decoding and an error rate. A testing error rate is determined based at least in part on the amount of time. The number of iterations which corresponds to the testing error rate in the error rate function is selected to be a testing number of iterations; the testing error rate and the testing number of iterations are associated with testing storage media using iterative decoding.
Abstract:
A plurality of partially-decoded codewords that have been processed at least once by a first and a second error correction decoder is stored. A plurality of metrics associated with how close a corresponding partially-decoded codeword is to being successfully decoded is stored. From the plurality of partially-decoded codewords, a codeword having a metric indicating that that codeword is the closest to being successfully decoded by the first error correction decoder and the second error correction decoder is selected. The selected codeword is output to the first error correction decoder.
Abstract:
A first bit position of a cell in solid state storage is read where a sorting bit is obtained using the read of the first bit position. A second bit position of the cell is read for a first time, including by setting a first read threshold associated with the second bit position to a first value and setting a second read threshold associated with the second bit position to a second value. The second bit position of the cell is read for a second time, including by setting the first read threshold to a third value and setting the second read threshold to a fourth value. A new value for the first read threshold and for the second read threshold is generated using the sorting bit, the first read, and the second read.
Abstract:
A codeword that is associated with one uncorrected codeword in a set of first codewords is selected from a set of third codewords. Error correction decoding is performed on the selected codeword using a third, systematic error correction code.
Abstract:
A first set of one or more soft detector outputs is generated. It is determined if error correction decoding is successful using the first set of soft detector outputs. In the event it is determined error correction decoding is not successful, a second set of one or more soft detector outputs is generated where a largest likelihood associated with the first set is greater than a largest likelihood associated with the second set.
Abstract:
A set of one or more component syndromes associated with a turbo product code (TPC) codeword is obtained from a component syndrome buffer. Component decoding is performed on the set of one or more component syndromes.