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	Min-sum approximation decoding of LDPC codes with adaptive non-uniform quantization
	Liu Binbin ; Bai Dong ; Mei Shunliang
	2010-10-12 ; 2010-10-12
关键词	Practical Theoretical or Mathematical/ adaptive signal processing estimation theory Gaussian distribution parity check codes quantisation (signal)/ min-sum approximation decoding LDPC codes adaptive nonuniform quantization low density parity check codes density evolution probability density Gaussian distribution variance estimation/ B6120B Codes B6140 Signal processing and detection B0240Z Other topics in statistics
中文摘要	To reduce the implementation complexity and mitigate the performance loss, an adaptive nonuniform quantized min-sum approximation decoding for Low-density parity-check (LDPC) codes is proposed. The min-sum approximation decoding is analyzed by density evolution. Since the probability density of variable nodes messages can be well approximated by Gaussian distribution, the density of variable nodes messages can be tracked by variance estimation during the iteration. Thus the non-uniform quantization scheme can be optimized accordingly. Simulation results show that the adaptive nonuniform quantization scheme can achieve better error rate performance and faster decoding convergence than conventional non-uniform quantization and uniform quantization schemes.
语种	英语
出版者	Chinese Institute of Electronics ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/82833]
专题	清华大学
推荐引用方式 GB/T 7714	Liu Binbin,Bai Dong,Mei Shunliang. Min-sum approximation decoding of LDPC codes with adaptive non-uniform quantization[J],2010, 2010.
APA	Liu Binbin,Bai Dong,&Mei Shunliang.(2010).Min-sum approximation decoding of LDPC codes with adaptive non-uniform quantization..
MLA	Liu Binbin,et al."Min-sum approximation decoding of LDPC codes with adaptive non-uniform quantization".(2010).

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