Abstract: A method includes receiving an Error Correction Code (ECC) code word, which includes multiple encoded bits that represent data and have a bit order. Multiple subsets of the encoded bits are selected using a selection criterion that does not sequentially follow the bit order. For each subset in at least some of the multiple subsets, the bits in the subset are inverted and the code word having the inverted bits is decoded, so as to reconstruct the data.

Abstract: A method for data storage includes storing data in a memory that includes multi-bit analog memory cells, each of which stores at least first and second data bits by assuming one of a predefined plurality of programming levels associated with respective storage values. The memory has at least a first built-in command for reading the first data bits of the memory cells by comparing the storage values of the memory cells to a first number of first thresholds, and a second built-in command for reading the second data bits of the memory cells by comparing the storage values of the memory cells to a second number of second thresholds, such that the first number is less than the second number. After storing the data, the first data bits are read from the memory cells by executing at least the second built-in command.

Abstract: A method and a system for reducing computational complexity in a maximum-likelihood MIMO decoder, while maintaining its high performance. A factorization operation is applied on the channel Matrix H. The decomposition creates two matrixes: an upper triangular with only real-numbers on the diagonal and a unitary matrix. The decomposition simplifies the representation of the distance calculation needed for constellation points search. An exhaustive search for all the points in the constellation for two spatial streams t(1), t(2) is performed, searching all possible transmit points of (t2), wherein each point generates a SISO slicing problem in terms of transmit points of (t1); Then, decomposing x,y components of t(1), thus turning a two-dimensional problem into two one-dimensional problems. Finally searching the remaining points of t(1) and using Gray coding in the constellation points arrangement and the symmetry deriving from it to further reduce the number of constellation points that have to be searched.