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Bilayer LDPC Codes Combined with Perturbed Decoding for MLC NAND Flash Memory. [PDF]
Kong L, Liu H, Hou W, Meng C.
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New quantum LDPC codes based on projective geometry. [PDF]
Tang C, Bai C, Feng Y.
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A Novel PTS Technique with Side Information Blind Detector Based on Minimized Error Accumulation for PAPR Reduction in Coded Underwater Acoustic OFDM Systems. [PDF]
Xing S, Wei B, Yu Y, Bai Y, Yin J.
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Efficient FPGA implementation of polar codes-based information reconciliation for quantum key distribution. [PDF]
Liao L +10 more
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Hybrid Window Decoding for Joint Source Channel Anytime Coding System. [PDF]
Deng L +5 more
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High-Throughput Polar Code Decoders with Information Bottleneck Quantization. [PDF]
Kestel C, Johannsen L, Wehn N.
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Low-Density Parity-Check Codes
2009AbstractLow-density parity-check (LDPC) codes are among the most efficient error correcting codes in use. This chapter introduces an important family of LDPC ensembles, based on random factor graphs, and studies some of their basic properties. It focuses on performances under optimal decoding, when no constraint is imposed on the computational ...
Marc Mézard, Andrea Montanari
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Structured Low-Density Parity-Check Codes
IEEE Signal Processing Magazine, 2004This article describes the different methods to design regular low density parity-check (LDPC) codes with large girth. In graph terms, this corresponds to designing bipartite undirected regular graphs with large girth. Large girth speeds the convergence of iterative decoding and improves the performance at least in the high SNR range, by slowing down ...
Alexander Kuznetsov +3 more
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GRAPHICAL QUANTUM LOW-DENSITY PARITY-CHECK CODES
International Journal of Modern Physics B, 2012Graphical approach provides a direct way to construct error correction codes. Motivated by its good properties, associating low-density parity-check (LDPC) codes, in this paper we present families of graphical quantum LDPC codes which contain no girth of four.
Li, Yuan +3 more
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Low Density Parity Check Codes
2020A linear code with a check matrix in which each column has few non-zero entries is called a low density parity check code or, for brevity, an LDPC code. These codes were introduced in the 1960s by Gallager who proved that probabilistic constructions of such matrices produce asymptotically good linear codes. Moreover, he observed that LDPC codes perform
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