Abstract: A direct action solenoid valve includes: a valve body, on the valve body is disposed a water inlet port and two water outlet ports, the two water outlet ports are a first water outlet port and a second water outlet port respectively; a first water passage channel, formed between the water inlet port and the first water outlet port, and a second water passage channel, formed between the water inlet port and the second water outlet port; a chamber, formed between the first water passage channel and the second water passage channel; a control piece, disposed in the chamber, to control the first water outlet port to open; a solenoid valve head, disposed in the valve body; and a hydroelectric generator, disposed in the valve body to supply power to the solenoid valve head.

Abstract: A memory device includes a memory array, a processor, and a decoding apparatus. The processor is coupled to the memory array and configured to read encoded data from the memory array. The encoded data includes a plurality of data blocks and each data block is included in two or more data codewords. Further, data codewords belonging to a same pair of data codewords share a common data block. The decoding apparatus is configured to iteratively decode data codewords using hard decoding and soft decoding, and to correct stuck errors by identifying failed data blocks based on shared blocks between failed data codewords.

Abstract: A data processing system includes a storage medium, and a controller including a data processing block, configured to receive data from a host, transmit the received data to the storage medium, read data from the storage medium in response to a read request from the host, and decode the read data by the data processing block according to multiple decoding modes. The data processing block includes a first decoder and a second decoder, and is configured to manage the first decoder and the second decoder to run the decoding for the read data, and activate a fast decoding having shorter latency than a normal decoding after a fast decoding condition is satisfied.

Abstract: A memory device can include a memory array, a processor coupled to the memory array, and a decoding apparatus. The decoding apparatus is configured to perform parallel decoding of codewords. Each of the codewords has a plurality of data blocks, each data block having a number of data bits. The decoding apparatus is configured to decode in parallel two or more codewords, which share a common data block, to determine error information associated with each codeword. For each error, the error information identifies a data block having the and associated error bit patterns. The decoding apparatus is configured to update the two or more codewords based on the identified data blocks having errors and the associated error bit patterns.

Abstract: A memory device can include a memory array, a processor coupled to the memory array, and a decoding apparatus. The decoding apparatus is configured to perform parallel decoding of codewords. Each of the codewords has a plurality of data blocks, and each data block having a number of data bits. The decoding apparatus is configured to decode, in parallel, a first codeword with one or more other codewords to determine error information associated with each codeword. For errors in a common data block shared between two codewords being decoded in parallel, the error information includes a data block identifier and associated error bit patterns. Further, the decoding apparatus is configured to update the codewords based on the error information.

Abstract: A memory device includes a memory array, a processor coupled to the memory array, and a decoding apparatus. The decoding apparatus is configured to perform coarse decoding and fine decoding. In coarse decoding, the decoder decodes in parallel two or more codewords, which share a common block of bits, to determine error information. Next, the decoder corrects errors in a first codeword based on the error information. Then, it is determined if the shared common block of data bits is corrected. If the shared common data block is updated, then error correction based on the error information is prohibited in codewords sharing the common block of data bits with the first codeword. In fine decoding, a single codeword is decoded at a time for error correction.

Abstract: An apparatus of a memory system and an operating method thereof includes: a plurality of memory devices; and a controller including a decoder and a BER predictor, coupled with the plurality of memory devices, configured to perform a decoding iteration includes to conduct NAND read and generate NAND data; decode in accordance with the NAND data and generate decoder information by the decoder; predict a BER in accordance with at least the decode information by the BER predictor; and evaluate the predicted BER and generate evaluation result by the BER predictor.

Abstract: Systems may include a memory storage suitable for storing data, an encoder suitable for encoding data into codewords arranged in an array of a number of rows and a number of columns, and a decoder suitable for receiving the encoded codewords, decoding the encoded codewords, and detecting miscorrections in the decoding.

Abstract: Techniques are described for protecting miscorrection in a codeword. In one example, the techniques include obtaining a first set of data to be encoded using a product code comprising one or more constituent codes, and generating a second set of data by performing a miscorrection avoidance procedure on the first set of data. The miscorrection avoidance procedure decreases a probability of miscorrection at a decoder. The techniques further includes jointly encoding the first and the second set of data using an encoding procedure corresponding to the product code to generate at least one encoded codeword, and storing the encoded codeword in the memory.

Abstract: Techniques are described for decoding a first message. In one example, the techniques include obtaining a second message comprising reliability information corresponding to each bit in the first message, performing a soft decision decoding procedure on the second message to generate a decoded codeword, wherein the soft decision decoding procedure comprises a joint decoding and miscorrection avoidance procedure, and outputting the decoded codeword.

Abstract: Techniques are described for codeword decoding. In an example, a system computes a checksum for a codeword based on the codeword and a parity check matrix. The system compares the checksum to thresholds. Each threshold is associated with a different decoder from a plurality of decoders available on the system. The system selects a decoder from the plurality of decoders. The decoder is selected based on the comparison of the checksum to the thresholds. The system decodes the codeword by using the selected decoder.

Abstract: Techniques are described for decoding a message. In one example, the techniques include obtaining a first message comprising a plurality of information bits and a plurality of parity bits, decoding the first message using an iterative decoding algorithm to generate a first bit sequence, generating a miscorrection metric based at least on the first bit sequence and one or more reliability values corresponding to one or more bits in the first message, determining whether a miscorrection happened in the decoder by comparing the miscorrection metric with a first threshold, and upon determining that a miscorrection did not happen, outputting the first bit sequence as a decoded message.

Abstract: Techniques for reducing the latency for decoding product codewords with minimal hardware architecture changes are described. In an example, a system accesses and decodes a generalized product code (GPC) codeword by using at least one of a plurality of Chase decoding procedures available on the system. A first Chase decoding procedure is configured according to first values for a set of decoding parameters. A second Chase decoding procedure is configured according to second values for the set of decoding parameters. The second values are different from the first values. The first Chase decoding procedure has a smaller latency and a higher bit error rate (BER) relative to the second Chase decoding procedure based on the first values and the second values for the set of decoding parameters.

Abstract: An apparatus for decoding is disclosed. The apparatus includes a memory and a processor coupled to the memory. The processor is configured to obtain a first codeword comprising one or more information bits and one or more parity bits, obtain a first parameter corresponding to a code rate of the first codeword, and decode the first codeword using a multi-rate decoder to generate a decoded codeword. The multi rate decoder performs a code reconstruction procedure on the first codeword to generate a reconstructed codeword, and decodes the reconstructed codeword. The processor is further configured to output the decoded codeword.

Abstract: Techniques for reducing the latency for decoding product codewords with minimal hardware architecture changes are described. In an example, multiple decoding procedures are available a system. The system maintains decoding states. Each decoding state corresponds to a constituent codeword of a product codeword and to a decoding procedure. For instance, a BCH decoding state indicates whether the decoding of the respective BCH constituent codeword has previously failed. The decoding of the product codeword depends on the various decoding state. For instance, in a BCH decoding iteration, if a BCH decoding state of a constitutent codeword is set to “failed,” the BCH decoding of that codeword is skipped.

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: Techniques are described for decoding a codeword. In one example, the techniques include obtaining a first message comprising reliability information corresponding to each bit in the first codeword, determining a plurality of least reliable bits in the first codeword, and generating a plurality of flipped messages by flipping one or more of the plurality of least reliable bits in the first codeword. A number of the plurality of least reliable bits is equal to a first parameter and a number of flipped bits in each of the plurality of flipped messages is less than or equal to a second parameter. The method further includes decoding one or more of the plurality of flipped messages using a hard decoder to generate one or more candidate codewords.

Abstract: An apparatus for decoding a TPC codeword is disclosed. The apparatus includes a memory and a processor coupled to the memory. The processor is configured to receive a first set of soft information corresponding to the TPC codeword. The TPC codeword includes at least one codeword corresponding to each of first, second, and third dimensions. The processor is further configured to iteratively perform a first soft decoding procedure on the at least one codeword corresponding to the first dimension to generate a first candidate codeword and upon determining that the first candidate codeword is not a correct codeword, and perform a second decoding procedure on the at least one codeword corresponding to the third dimension to generate a second candidate codeword. The second decoding procedure generates a second set of soft information to be used at a later iteration of the first decoding procedure.

Abstract: In one embodiment, an apparatus for decoding is disclosed. The apparatus includes a memory and at least one processor coupled to the memory. The at least one processor is configured to obtain one or more parameters corresponding to a system, determine a plurality of settings corresponding to an adaptive soft decoding procedure for decoding a product code, wherein the plurality of settings are determined based on the one or more parameters using a trellis, and determine a decoded codeword by performing the adaptive soft decoding procedure on the received codeword, wherein the adaptive soft decoder utilizes the determined plurality of settings.

Abstract: Techniques for reducing the latency for decoding product codewords with minimal hardware architecture changes are described. In an example, multiple decoding procedures are available a system. The system maintains decoding states. Each decoding state corresponds to a constiuent codeword of a product codeword and to a decoding procecure. For instance, a BCH decoding state indicates whether the decoding of the respective BCH constituent codeword has previously failed. The decoding of the product codeword depends on the various decoding state. For instance, in a BCH decoding iteration, if a BCH decoding state of a constitutent codeword is set to “failed,” the BCH decoding of that codeword is skipped.