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ESTIMATION OF THE NUMBER OF CORRELATED SOURCES WITH COMMON FREQUENCIES BASED ON POWER SPECTRAL DENSITY
被引:5
作者:
LI Ning SHI Tielin School of Mechanical Science and Engineering
机构:
基金:
中国国家自然科学基金;
关键词:
Blind signal;
Number of sources;
Power spectral density;
D O I:
暂无
中图分类号:
TN911 [通信理论];
学科分类号:
081002 ;
摘要:
Blind source separation and estimation of the number of sources usually demand that the number of sensors should be greater than or equal to that of the sources,which,however,is very difficult to satisfy for the complex systems.A new estimating method based on power spectral density (PSD)is presented.When the relation between the number of sensors and that of sources is unknown, the PSD matrix is first obtained by the ratio of PSD of the observation signals,and then the bound of the number of correlated sources with common frequencies can be estimated by comparing every column vector of PSD matrix.The effectiveness of the proposed method is verified by theoretical analysis and experiments,and the influence of noise on the estimation of number of source is simu- lated.
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页码:88 / 93
页数:6
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