Compressed Sensing has been a new signal sampling theory in recent years

for it overcomes the high rate of sampling defects of traditional Nyquist signal sampling theory

It presented the basic principles of Compressed Sensing

introduced three fundamental questions of Compressed Sensing-the sparseness of signals、irrelevance between sparse matrix and measurement matrix

and reconstruction of the signals，and analyzed the contact between Compressed Sensing and Blind Source Separation. Then

it offered a new way to solve the problem of Blind Source Separation. Finally

through the experiment it showed its application in Blind Source Separation.