A trispectra method for solving the m-input n-output (n/spl ges/m) wideband blind identification and signal separation problem with unknown number of sources m is presented. The method is universal in the sense that it does not impose any restriction on the probability distribution of the input signals provided that they are non-Gaussian. A criterion, which states a sufficient condition for identification and separation, has been proved. An algorithm is also developed based on the criterion, whose efficiency is verified by the simulations.
Blind identification and separation of convolutively mixed independent sources
IEEE Transactions on Aerospace and Electronic Systems ; 33 , 3 ; 997-1002
1997-07-01
133193 byte
Article (Journal)
Electronic Resource
English
Blind Identification and Separation of Convolutively Mixed Independent Sources
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