Wavelet theory has played a particularly important role in multiscale analysis due to the fact that the basis functions are well suited to analyze local scale phenomena. This research also endows wavelets with a remarkable property for denoising in a wavelet based framework. In this paper, we show that effective noise uppression may be achieved by wavelet shrinkage.
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