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On Generalized Adaptive Neural Filter, Zhiqiang Zhang
On Generalized Adaptive Neural Filter, Zhiqiang Zhang
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Linear filters have historically been used in the past as the most useful tools for suppressing noise in signal processing. It has been shown that the optimal filter which minimizes the mean square error (MSE) between the filter output and the desired output is a linear filter provided that the noise is additive white Gaussian noise (AWGN). However, in most signal processing applications, the noise in the channel through which a signal is transmitted is not AWGN; it is not stationary, and it may have unknown characteristics.
To overcome the shortcomings of linear filters, nonlinear filters ranging from the median …