During wavelet decomposition across different scales, signals and noise exhibit fundamentally different propagation characteristics: the modulus maxima of noise diminishes as wavelet scales increase, while the modulus maxima of signals amplifies with larger scales. This principle enables noise removal from signals by reconstructing the original signal using denoised modulus maxima, achieving effective noise suppression. In implementation, this typically involves multiscale decomposition using wavelet transforms, thresholding operations on coefficients, and signal reconstruction.
MATLAB
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