Wavelet Denoising is a signal processing technique that belongs to the class of data reduction methods, distinguished by its use of wavelet transforms to suppress noise while preserving significant signal features through thresholding of wavelet coefficients.
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De-noising by soft-thresholding
David L. Donoho · IEEE Transactions on Information Theory · 1995 · 9.6K citations
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