Blind source separation based on generalized gaussian modelOA
Blind source separation based on generalized gaussian model
Since in most blind source separation (BSS) algorithms the estimations of probability density function (pdf) of sources are fixed or can only switch between one sup-Gaussian and other sub-Gaussian model,they may not be effici…查看全部>>
Since in most blind source separation (BSS) algorithms the estimations of probability density function (pdf) of sources are fixed or can only switch between one sup-Gaussian and other sub-Gaussian model,they may not be efficient to separate sources with different distributions. So to solve the problem of pdf mismatch and the separation of hybrid mixture in BSS, the generalized Gaussian model (GGM) is introduced to model the pdf of the sources since it can pr…查看全部>>
YANG Bin;KONG Wei;ZHOU Yue
Information Engineering College of Shanghai Maritime University, Shanghai 200135, ChinaInformation Engineering College of Shanghai Maritime University, Shanghai 200135, ChinaInstitute of Image Processing & Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China
信息技术与安全科学
blind source separationIndependent Component AnalysisGeneralized Gaussian ModelMaximum Likelihood
blind source separationIndependent Component AnalysisGeneralized Gaussian ModelMaximum Likelihood
《哈尔滨工业大学学报（英文版）》 2007 (3)
362-367,6
Sponsored by the Foundation of CSSC ( Grant No. 03J3.4.3) and the 863 Hi-tech Research and Development Program of China ( No. 2006AA09Z210).
评论