A Simple Threshold Nonlinearity for Blind Signal Separation
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چکیده
A computationally simple nonlinearity in the form of a threshold device is shown to serve as contrast function in blind signal separation. Convergence is shown to be robust, fast, and comparable with that of more complex polynomial nonlinearities. Together with the known signum nonlinearity for super-Gaussian distributions, which basically is a threshold device with the threshold set to zero, the general threshold nonlinearity (with an appropriate threshold) can separate any non-Gaussian signals.
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تاریخ انتشار 2000