harr wavelet transform algorithm implemented with c

it is a function to add back using wavelet

小波十讲电子书（中文版，李建平，杨万年译），很实用，很难找的哦！-E-book Ten Lectures on Wavelets (Chinese version, Li Jianping, Yang Wannian translation), it is practical, it is difficult to find the Oh!

dwt小波变换用于图像处理与压缩-dwt wavelet transform for image processing and compression

algorithm for ecg delineation, based on DWT

波形分析,采用FFT运算-waveform analysis using FFT

基于小波包分解的脑电信号特征提取.格式是caj后缀的，大家看的时候可能得有CAJViewer 这个软件-Based on wavelet packet decomposition of the EEG feature extraction. CAJ suffix format is, we see there may be a time when the software CAJViewer

Wavelet denoise 实用小波库-Wavelet denoise practical wavelet library

基于提升格式的整数小波变换及其编解码- And its arranges based on the promotion form integer wavelet transformation decodes

小波变换中卷积的源代码，经过注释和整理，可以直接被调用，很方便-Wavelet Transform in the convolution of the source code, after the Notes and finishing, you can call directly, it is convenient

关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the dif