Methods, systems, and devices for associative computing for error correction are described. A device may receive first data representative of a first codeword of a size for error correction. The device may identify a set of content-addressable memory cells that stores data representative of a set of codewords each of which is the size of the first codeword. The device may identify second data representative of the first codeword in the set of content-addressable memory cells. Based on identifying the second data, the device may transmit an indication of a valid codeword that is mapped to the second data.

Methods, systems, and devices for associative computing for error correction are described. A device may receive first data representative of a first codeword of a size for error correction. The device may identify a set of content-addressable memory cells that stores data representative of a set of codewords each of which is the size of the first codeword. The device may identify second data representative of the first codeword in the set of content-addressable memory cells. Based on identifying the second data, the device may transmit an indication of a valid codeword that is mapped to the second data.

A method, system, and ASIC chip for comparing a bit error rate (BER) to a forward error correction (FEC) threshold to determine a Q margin for a codeblock; wherein the BER corresponds to the number of errors in a given amount of data; where a codeblock of a FEC corresponds to the given amount of data; wherein the FEC threshold corresponds to the maximum amount of errors per codeblock that the FEC is able to remove per given amount of data; wherein the Q margin corresponds to a difference between the BER and the FEC threshold.

A method, system, and ASIC chip for comparing a bit error rate (BER) to a forward error correction (FEC) threshold to determine a Q margin for a codeblock; wherein the BER corresponds to the number of errors in a given amount of data; where a codeblock of a FEC corresponds to the given amount of data; wherein the FEC threshold corresponds to the maximum amount of errors per codeblock that the FEC is able to remove per given amount of data; wherein the Q margin corresponds to a difference between the BER and the FEC threshold.

A method, of decoding error correction code of a memory device with dynamic bit error estimation, can include generating at least one metric corresponding to one or more syndromes associated with a code word, the code word comprising an error correction code of a memory device, decoding the code word by a first decoder integrated with the memory device, in response to a determination that the metric satisfies a threshold associated with the syndromes, the first decoder having a first execution property, and decoding the code word by a second decoder integrated with the memory device, in response to a determination that the metric does not satisfy the threshold associated with the syndromes, the second decoder having a second execution property distinct from the first execution property, or in response to a determination that the metric satisfies the threshold associated with the syndromes, and in response to a determination to perform further decoding.

The disclosure relates to a method for decoding a transport block encoded with multiple codeblock segments. User equipment determines whether to decode one of a transport block cyclic redundancy check (CRC) and a codeblock segment CRC based on a speed of user equipment. In response to the speed of the user equipment being greater than a threshold, the user equipment decodes the transport block CRC and generates an acknowledgement (ACK)/non-acknowledgement (NAK). In response to the speed of the UE being less than or equal to the threshold, during a first data transmission, the user equipment decodes the codeblock segment CRC for each of the multiple codeblock segments and generates the ACK/NAK. During a second and latter data transmissions, the user equipment decodes the codeblock segment CRC for each of the multiple codeblock segments that failed in the first data transmission and generates the ACK/NAK.

According to one embodiment, a system includes a controller configured to determine whether a position error signal (PES) is invalid while reading data from a magnetic medium using at least one data channel. An invalid PES indicates off-track reading or a defect in the magnetic medium. The controller is also configured to determine whether a PES value is above a first predetermined threshold in response to a determination that the PES is valid. Moreover, the controller is configured to inject error bits into a data stream in place of corresponding bits of decoded data in response to a determination that the PES is invalid, a determination that the PES value is above the first predetermined threshold, or a determination that the PES is invalid and the PES value is above the first predetermined threshold. Other systems and methods are described in accordance with more embodiments.

According to one embodiment, a system includes a controller configured to determine whether a position error signal (PES) is invalid while reading data from a magnetic medium using at least one data channel. An invalid PES indicates off-track reading or a defect in the magnetic medium. The controller is also configured to determine whether a PES value is above a first predetermined threshold in response to a determination that the PES is valid. Moreover, the controller is configured to inject error bits into a data stream in place of corresponding bits of decoded data in response to a determination that the PES is invalid, a determination that the PES value is above the first predetermined threshold, or a determination that the PES is invalid and the PES value is above the first predetermined threshold. Other systems and methods are described in accordance with more embodiments.

A method for determining an error vector for a data word according to a Reed-Muller Code includes determining the syndrome of the error vector according to the Reed-Muller Code, expanding the syndrome with zeroes to 1 bit length less than the length of the Reed-Muller Code, determining a code word of a Simplex Code of 1 bit length less than the length of the Reed-Muller Code whose difference to the expanded syndrome has a weight below a first threshold or equal to or above a second threshold, expanding the difference between the determined code word and the expanded syndrome by a zero, and outputting the expanded difference as error vector if its weight is below the first threshold or outputting the inverted expanded difference as error vector if the weight of the expanded difference is equal to or above the second threshold.

A method for determining an error vector for a data word according to a Reed-Muller Code includes determining the syndrome of the error vector according to the Reed-Muller Code, expanding the syndrome with zeroes to 1 bit length less than the length of the Reed-Muller Code, determining a code word of a Simplex Code of 1 bit length less than the length of the Reed-Muller Code whose difference to the expanded syndrome has a weight below a first threshold or equal to or above a second threshold, expanding the difference between the determined code word and the expanded syndrome by a zero, and outputting the expanded difference as error vector if its weight is below the first threshold or outputting the inverted expanded difference as error vector if the weight of the expanded difference is equal to or above the second threshold.