An optimal detection voltage obtaining method, a reading control method and an apparatus are provided. The method includes: obtain a plurality of first difference values and a plurality of second difference values, the second difference value characterizes a difference value of two detection voltages which are adjacent in numerical value, the first difference value characterizes a difference between numbers of memory cells whose threshold voltages respectively equal to the two detection voltages used by the second difference value; dividing the first difference by the second difference to obtain a plurality of tangent approximations; selecting a first tangent approximation and a second tangent approximation from the plurality of tangent approximations, the first tangent approximation is a positive number and the second tangent approximation is a negative number; calculating an optimal detection voltage according to the first tangent approximation, the second tangent approximation, a first detection voltage and a second detection voltage.

Devices, systems, and methods for detecting and mitigating oscillations in a bit-flipping decoder associated with a non-volatile memory are described. An example method includes receiving a noisy codeword based on a transmitted codeword generated from a low-density parity-check code, performing a first plurality of decoding iterations on the noisy codeword, which comprises performing a message passing algorithm in a first order, computing, based on a completion of the first plurality of decoding iterations, a plurality of checksum values and a plurality of bit flip counts corresponding to the first plurality of decoding iterations, determining that the plurality of checksum values and the plurality of bit flip counts are periodic with a period less than a predetermined threshold, and performing a subsequent decoding iteration on the noisy codeword, the subsequent decoding iteration comprising performing the message passing algorithm in a second order different from the first order.

A method of responding to a read request from a host includes: obtaining read data from a memory device, performing first iteration ECC decoding on the read data to generate a plurality of pieces of decoded data, selecting one of the plurality of pieces of decoded data as intermediate data as intermediate data, generating preprocessed data based on the read data and the intermediate data and performing second iteration ECC decoding on the preprocessed data when the first iteration ECC decoding fails, and outputting the intermediate data to the host when the first iteration ECC decoding succeeds.

Memory controllers, decoders and methods to selectively perform bit-flipping (BF) decoding and min-sum (MS) decoding on codewords of an irregular low-density parity-check (LDPC) code. Bit-flipping (BF) decoding is executed with respect to variable nodes having relatively high column weights. MS decoding is executed with respect to variable nodes having relatively low column weights. A column-weight threshold is used to group the variable nodes into the higher and lower column weight groups. The two decoding techniques exchange results during the overall decoding process.

A memory device, and an operating method of the memory device and a host device are provided. The method of operating a memory device includes receiving a command for requesting an Eye Open Monitor (EOM) operation performance from a host device, receiving pattern data including data and non-data from the host device, performing the EOM operation which performs an error count to correspond to the data, and does not perform the error count on the non-data, and transmitting an EOM response signal including the error count result to the host device.

A machine-learning (ML) error-correcting code (ECC) controller may include a hard-decision (HD) ECC decoder optimized for high-speed data throughput, a soft-decision (SD) ECC decoder optimized for high-correctability data throughput, and a machine-learning equalizer (MLE) configured to variably select one of the HD ECC decoder or the SD ECC decoder for data throughput. An embodiment of the ML ECC controller may provide speed-optimized HD throughput based on a linear ECC. The linear ECC may be a soft Hamming permutation code (SHPC).

Disclosed is a method and system for providing a minimal aliasing error correction code. In constructing a single error correction (SEC) code by constructing a parity check matrix H for a data length k applied to a device, as the SEC code is designed to be valid and minimize generation of aliasing by checking some bits rather than all bits when nonzero binary column matrices different from each other are arranged in the parity check matrix, destruction of information can be prevented, and reliability of a device applying the SEC, such as DRAM or the like, can be improved.

Methods, systems, and devices for operating a memory device are described. An error correction bit flipping scheme may include methods, systems, and devices for performing error correction of one or more bits (e.g., a flip bit) and for efficiently communicating error correction information. The data bits and the flip bit (e.g., an error corrected flip bit) may be directly transmitted (e.g., to a flip decision component). The flip bit may be transmitted to the flip decision component over a dedicated and/or unidirectional line that is different from one or more other lines that carry data bits (e.g., to the flip decision component).

An error correction method comprises: when a decoder determines that an input analog code is at a forbidden state, setting a digital binary code as a first predetermined code and inputting the digital binary code to an ECC engine; determining whether the digital binary code has no error or two errors; when the digital binary code has no error, outputting the digital binary code after ECC by the ECC engine; when the digital binary code has two errors, resetting the digital binary code as a second predetermined code and inputting the digital binary code to the ECC engine for ECC; and when the decoder determines that the input analog code is not at the forbidden state, decoding the input analog code into the digital binary code and inputting the digital binary code to the ECC engine for ECC.

A method and apparatus for content aware decoding utilizes a pool of decoders shared data statistics. Each decoder generates statistical data of content it decodes and provides these statistics to a joint statistics pool. As codewords arrive at the decoder pool, the joint statistics are utilized to estimate or predict any corrupted or missing bit values. Codewords may be assigned to a specific decoder, such as a tier 1 decoder, a tier 2 decoder, or a tier 3 decoder, based on a syndrome weight or a bit error rate. The assigned decoder updates the joint statistics pool after processing the codeword. In some embodiments, each decoder may additionally maintain local statistics regarding codewords, and use the local statistics when there is a statistically significant mismatch between the local statistics and the joint statistics pool.