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elec
- 本程序应用小波变换进行电力系统的在线监测。电力系统在线监测中的检测信号含有大量的背景噪声，不便于检测。应用小波变换解决这一问题。程序中应用db3小波对信号进行5层分解，并得出了各层的细节信号与逼近信号。
experiment4_c
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构（并对小波系数进行变换）-A grayscale image, using the Haar wavelet, Db2, DB3 wavelet decomposition and reconstruction (and the wavelet coefficients to transform)
example4
- 本程序先生成一个“Blocks”信号，然后加上高斯白噪声，再用 db3 小波进行分解，-The Mr. Cheng Xu as a " Blocks" signal, and then add white Gaussian noise, and then ' db3' wavelet decomposed
remove-noise-by-wavelet-transform
- 小波去噪,通过对含噪信号进行四层小波分解，此处利用db3小波系列，通过仿真发现可以很好的消除信号中的噪声-Wavelet denoising, the signal through four layers of noisy wavelet decomposition, where the use db3 wavelet series, the simulation found in the well to eliminate the noise signal
experiment4_b
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构-A grayscale image, using the Haar wavelet the Db2, Db3, wavelet decomposition and reconstruction
experiment4_b2
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构（使用自编函数）-A grayscale image, using the Haar wavelet, Db2, DB3 wavelet decomposition and reconstruction (using the self function)
experiment4_c2
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构（并对小波系数进行变换）（使用自编函数）-A grayscale image, using the Haar wavelet, Db2, DB3 wavelet decomposition and reconstruction (and the wavelet coefficients transform) (using the self function)
wavelet_test_1
- 小波分析——三种正弦波的混合波形进行5层db3小波分析-Wavelet analysis- Three sine-wave mixing waveform layer db3 wavelet analysis
db3
- 自己写的小波分解和重构程序,小波分解了在低频信息上作retinex算法，然后再重构回去。-Write your own wavelet decomposition and reconstruction process