Blind Sources Separation Its Application Study In Multi-channel Signal Processing

Recently, theories and methods of signal processing are obtained to develope quickly. In fact, signal processing is a important foundation stone for all kinds of subjects' developing. Independent component analysis (1CA) technology developing is a later theory or method in fields of signal processing, but it was important that rapidly become a part of constitution of signal processing fields, and its developing tends gradually to maturity and systematization.This paper introduced theory and method of BSS, especially ICA (independent component analysis). At the same time, it was applied to process digital image signal and to research Event-related fMRI data.This paper's contents include: theory of JCA, research headway of event-related fMRI and processing algorithms of digital image watermarking , and ICA technology's applications (in digital image watermarking processing and fMRI data), finally, summarized the work of this paper and some problems on the ICA technique which to be solved were presented and the direction of the development pointed out.The ICA technique separated successfully separated watermarking and key from mixing digital image signals, even though under strong noise, the results still have very good performance index.; and with ICA, random noise and physiological interferences such as heart beats, respiration, are suppressed effectively, and functional signals of the image are enhanced. All above showed nicer signal processing ability and factual value of ICA technique.