Blind Separation of Digital Sources
This paper presents novel techniques for blind separation of instantaneously mixed digital sources, which are suitable for the case with less sensors than sources. First, a solvability analysis is presented for a general case. A necessary and sufficient condition for recoverability of sources is derived. Then the binary source case is considered, a new deterministic blind separation algorithm is proposed to estimate the mixing matrix and separate all sources efficiently in the noise-free or low noise case. By estimating the probability density function of the mixtures, the deterministic algorithm is extended to deal with the case of high noise. Finally, simulation results are presented to illustrate the validity of the algorithms.
Digital source blind separation solvability conditions.
Yuanqing Li Andrzej Cichocki Liqing Zhang
Automatic Control Engineering Department South China University of Technology Guangzhou, 510641, Chi Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute, Wako shi, Saitama, 35
国际会议
8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)
上海
英文
1056-1060
2001-11-14（万方平台首次上网日期，不代表论文的发表时间）