文件名称:db4
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1、 降噪步骤：
（1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。
（2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。
（3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。
matlab里面有关于去噪的函数，你可以找一下~~
这说的只是基本原理，希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help
（1） 一维信号的小波分解。选择一个小波并确定分解的层次，然后进行分解运算。
（2） 小波分解高频系数的阈值量化。对各个分解尺度下得高频系数选择阈值进行软阈值量化处理。
（3） 一维小波重构。根据小波分解的最底层低频系数和各高频系数进行一维小波重构。
matlab里面有关于去噪的函数，你可以找一下~~
这说的只是基本原理，希望有所帮助-1, noise reduction steps: (1) one-dimensional signal wavelet decomposition. Select a wavelet decomposition level and determining, and then divide the operation. (2) high coefficient wavelet thresholding. For each decomposition scales have high coefficient selection threshold soft threshold quantization. (3) one-dimensional wavelet reconstruction. According to the lowest level of the low frequency wavelet coefficients and high frequency coefficients of each one-dimensional wavelet reconstruction. There are about denoising matlab function, you can find some ~ ~ This says just the basic principle, we hope to help
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小波重构.txt