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Title: 数学形态学与小波变换 Download
 Description: Wavelet decomposition allows people to observe signals at any scale, just the size of the wavelet function is appropriate. The wavelet decomposition decomposes the signal into approximate and detail components, and they have different characteristics in application. For example, for noisy signals, the main energy of the noise component is concentrated in the detail components of wavelet decomposition, and further processing the detail components, such as threshold processing, can filter the noise.
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