Introduction to Blind Source Separation Methods
نویسنده
چکیده
The blind source separation problem (BSS) consists in extracting uncorrelated sources from an observed linear mixture. The rationale behind BSS is to reconstruct correctly the waveform of the signals allowing arbitrariness of their sign, order and energy. Known closed-from solutions succeed by relying on specific assumptions about the source distributional form. For more complex signal, such as biological signal, closed form solutions in general fails, whereas their extension may succeed. This document summarizes the best known closed form solutions to the BSS problem and two extensions based on approximate joint diagonalization algorithms. It also summarizes two useful algebraic decorrelation techniques.
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تاریخ انتشار 2007