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In this paper an optimum wavelet for denoising and detection applications is designed. The approach is based on searching for a wavelet basis that provides the best non linear approximation of a given signal. It is shown that such a basis will have the best wavelet denoising performance in the sense of signal estimation error. In addition, such a wavelet(More)
In this paper an optimum wavelet for denoising applications based on signal to noise ratio (SNR) improvement is designed. The approach is based on searching for a wavelet basis that provides the best non linear approximation of a given signal. It is shown that such a basis will have the best wavelet denoising performance in the sense of signal estimation(More)
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