Abstract:
Provided are memory devices and memory programming methods. A memory device may include: a multi-level cell array that includes a plurality of multi-level cells; a programming unit that programs a first data page in the plurality of multi-level cells and programs a second data page in a multi-level cell from among the plurality of multi-level cells in which the first data page is programmed; an error analysis unit that analyzes read error information corresponding to the first data page based on a read voltage level to determine whether to correct a read error based on the analyzed read error information; and a controller that adjusts the read voltage level of the first data page depending on the determination result. Through this, it is possible to reduce an error occurrence when reading and/or programming a data page.
Abstract:
Provided are memory devices and memory programming methods. A memory device may include a multi-bit cell array including a plurality of multi-bit cells, a programming unit configured to program a first data page in the plurality of multi-bit cells and to program a second data page in the multi-bit cells with the programmed first data page, a first controller configured to divide the multi-bit cells with the programmed first data page into a first group and a second group, and a second controller configured to set a target threshold voltage interval of each of the multi-bit cells included in the first group based on first read voltage levels and the second data page, and to set a target threshold voltage interval of each of the multi-bit cells included in the second group based on second read threshold voltage levels and the second data page.
Abstract:
A decoder includes multiple decoder stages and a controller. The decoder stages perform decoding operations with respect to a received signal using corresponding different decoding algorithms. The controller determines whether the decoding operation performed by one of the decoder stages with respect to the received signal is successful, and controls the decoding operation of each of the other decoder stages in response to a result of the determination.
Abstract:
Disclosed are a memory device and a data decision method. The memory device may include a memory cell array, and a decision unit configured to read first data from the memory cell array via a first channel, perform at least one of a hard and soft decision on the first data using a first number of decision levels set based on characteristics of the first channel, read second data from the memory cell array via a second channel, and perform a soft decision on the second data using a second number of decision levels set based on characteristics of the second channel.
Abstract:
Disclosed is a decoding apparatus for LDPC (Low-Density Parity-Check) codes when receiving data encoded with LDPC codes on a channel having consecutive output values, and a method thereof. The decoding method for LDPC codes uses sequential decoding and includes the following steps: (a) the nodes are divided according to a parity-check matrix into check nodes for a parity-check message and variable nodes for a bit message; (b) the check nodes are divided into a predetermined number of subsets; (c) the LDPC codeword of each subset for all the check nodes is sequentially decoded; (d) an output message is generated for verifying validity of the decoding result; and (e) the steps (b), (c), and (d) are iteratively performed by a predetermined number of iterations.
Abstract:
Provided is a data processing method in a semiconductor memory device. The data processing method arranges data, which is to be programmed in a row and column of a nonvolatile memory device, in a row or column direction. The data processing method encodes the programmed data into a modulation code in the row or column direction such that adjacent pairs of memory cells of the nonvolatile memory device are prevented from being programmed into first and second states.
Abstract:
A data storage device includes a non-volatile memory device including a plurality of memory cells and a memory controller. The memory controller is configured to modify an arrangement of program data and to program the modified program data into the plurality of memory cells. The memory controller modifies the program data to eliminate a given data pattern causing physical interference between adjacent memory cells from the modified program data.
Abstract:
An iterative decoding method is disclosed and includes sequentially executing a number of iterative decoding cycles in relation to a parity check equation until the parity check equation is resolved, or a maximum number N of iterative decoding cycles is reached, during execution of the number of iterative decoding cycles, storing in a data buffer minimum estimated values for a set of variable nodes corresponding to a minimum number of bit errors, and outputting the minimum estimated values stored in the data buffer as a final decoding result when the number of iterative decoding cycles reaches N.
Abstract translation:公开了一种迭代解码方法,并且包括相对于奇偶校验方程顺序执行多个迭代解码周期,直到奇偶校验方程被解析为止,或者在迭代次数的执行期间达到迭代解码周期的最大数量N 解码周期,在数据缓冲器中存储对应于最小数量的位错误的一组可变节点的最小估计值,并且当迭代解码周期数达到时,输出存储在数据缓冲器中的最小估计值作为最终解码结果 N.
Abstract:
A memory device includes a plurality of multi-bit memory cells. A plurality of input data bits are encoded according to an error correction code to generate a codeword including a plurality of groups of bits. Respective ones of the plurality of multi-bit memory cells are programmed to represent respective ones of the groups of bits of the codeword. The groups of bits of the codeword may be groups of consecutive bits. In some embodiments, the multi-bit memory cells are each configured to store in bits and a length of the codeword is an integer multiple of m. Data may be read from the multi-bit memory cells in page units or cell units to recover the codeword, and the recovered code word may be decode according to the error correction code to recover the input data bits.
Abstract:
A decoding method includes performing a first decoding method and performing a second decoding method when decoding of the first decoding method fails. The first decoding method includes updating multiple variable nodes and multiple check nodes using probability values of received data. The second decoding method includes selecting at least one variable node from among the multiple variable nodes; correcting probability values of data received in the selected at least one variable node; updating the variable nodes and the check nodes using the corrected probability values; and determining whether decoding of the second decoding method is successful.