Author_Institution :
Comput. Sci. & Eng. Dept., Texas A&M Univ., College Station, TX, USA
Abstract :
Codes that correct limited-magnitude errors for multi-level cell nonvolatile memories, such as flash memories and phase-change memories, have received interest in recent years. This work proposes a new coding scheme that generalizes a known result [2] and works for arbitrary error distributions. In this scheme, every cell´s discrete level ℓ is mapped to its binary representation (bm-1, ..., b1,b0), where the m bits belong to m different error-correcting codes. The error ε in a cell is mapped to its binary representation (em-1, ..., e1, e0), and the codes are designed such that every error bit ei only affects the codeword containing the data bit bi. The m codewords are decoded sequentially to correct the bit-errors e0,e1, ..., em-1 in order. The scheme can be generalized to many more numeral systems for cell levels and errors, optimized cell-level labelings, and any number of cell levels. It can be applied not only to storage but also to amplitude-modulation communication systems.
Keywords :
amplitude modulation; error correction codes; random-access storage; amplitude-modulation communication systems; arbitrary error distributions; binary representation; bit-fixing codes; error-correcting codes; limited-magnitude errors; multi-level cell nonvolatile memories; Ash; Decoding; Encoding; Error correction codes; Labeling; Noise measurement; Vectors;