A modified low-density parity-check decoding scheme for holographic data storage has been developed and evaluated. It compensates the negative effect from neighboring pixels during the iterative decoding process, whic...
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A modified low-density parity-check decoding scheme for holographic data storage has been developed and evaluated. It compensates the negative effect from neighboring pixels during the iterative decoding process, which improves the overall error-correction performance when pixels are misaligned. A simulation shows that the proposed scheme outperforms a conventional log-likelihood-ratio (llr) belief-propagation (bp) algorithm.
Low Density Parity Check(LDPC) code itself has a good performance and the application of LDPC in the communication field is extensive. LDPC codes have the characteristics of low bit error rate, easy adjustment, low de...
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ISBN:
(纸本)9781510829039
Low Density Parity Check(LDPC) code itself has a good performance and the application of LDPC in the communication field is extensive. LDPC codes have the characteristics of low bit error rate, easy adjustment, low decoding complexity and excellent decoding performance. LDPC is considered to be the "best performance" in the field of coding and decoding[1]. In this paper, we mainly introduce the theory of LDPC codes. And the use of the method of the LDPC code to do a further explanation. Several simple decoding schemes of LDPC are studied. Finally, using the method of function approximation to replace the confidence function to improve the bpllralgorithm, and simulation experiments are carried out.
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