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Abstract:
We apply information maximization / maximum likelihood blind
source separation to complex valued signals mixed with complex
valued nonstationary matrices. This case arises in radio
communications with baseband signals. We incorporate known source
signal distributions in the adaptation, thus making the algorithms
less "blind." This results in drastic reduction of the amount of
data needed for successful convergence. Adaptation to rapidly
changing signal mixing conditions, such as to fading in mobile
communications, becomes now feasible as demonstrated by
simulations.
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