Description: through the design process to a simple one-dimensional signal with a Gaussian white noise after Daubech ies wavelet Morlet wavelet and Haar wavelet transform, and thus the wavelet coefficients; Decomposition again by changing the levels of high frequency coefficients of the wavelet reconstruction signal to eliminate noise purposes. In this program the process can intuitively understand wavelet decomposition process and the reconstruction of the Signal Noise Canceling the important role and the layers of high-frequency coefficients weight coefficient handling of the selection of signal denoising effects of.
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