文件名称:wavelet_wx
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（1.）二维信号的小波分解。选择一个小波和小波分解的层次N，然后计算信号s到第N层的分解。
（2）对高斯系数进行阈值量化。对于从1到N的每一层，选择一个阈值，并对这一层的高斯系数进行软阈值量化处理。
（3）二维信号的重构。根据小波分解的第N层的低频系数和经过修改的从第1层到第N层的各层高频系数计算二维信号的小波重构。
-(1) 2 d signal wavelet decomposition. Choose a wavelet and wavelet decomposition level N, then the signal s to the N layer decomposition.
(2) the gaussian coefficients of the threshold quantification. For from 1 to N of each layer, choose a threshold, and this layer of the gaussian coefficients are soft threshold quantization process.
(3) 2 d signal reconstruction. According to the wavelet decomposition of the N layer and low-frequency coefficients of the modified from the first level to the N layer of the layers of high frequency coefficient calculation of 2 d signal wavelet reconstruction.
（2）对高斯系数进行阈值量化。对于从1到N的每一层，选择一个阈值，并对这一层的高斯系数进行软阈值量化处理。
（3）二维信号的重构。根据小波分解的第N层的低频系数和经过修改的从第1层到第N层的各层高频系数计算二维信号的小波重构。
-(1) 2 d signal wavelet decomposition. Choose a wavelet and wavelet decomposition level N, then the signal s to the N layer decomposition.
(2) the gaussian coefficients of the threshold quantification. For from 1 to N of each layer, choose a threshold, and this layer of the gaussian coefficients are soft threshold quantization process.
(3) 2 d signal reconstruction. According to the wavelet decomposition of the N layer and low-frequency coefficients of the modified from the first level to the N layer of the layers of high frequency coefficient calculation of 2 d signal wavelet reconstruction.
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下载文件列表
wavelet.ppt