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...

TI C64X下垂直小波变换的手工汇编源代码-TI C64X perpendicular wavelet transform manual compilation of source code

it is a function to add back using wavelet

小波分解与合成，嵌入式编码与解码程序，用于语音和图像压缩-Wavelet decomposition and synthesis, embedded encoding and decoding procedures for voice and image compression

基于混沌加密的离散小波变换域数字图像水印算法的研究的期刊论文-DWT Based on Chaotic Encryption Algorithm for Digital Image Watermarking domain of research journal articles

S变换是小波变换的一种扩展，有非常大的价值-S transform is an extension of wavelet transform, has a very large value

离散小波变换源程序-DWT source

Walsh transform algorithms come from http://www.programmersheaven.com/

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

基于小波变换模极大的多尺度图像边缘检测matlab源代码-based on wavelet transform modulus maxima of multiscale edge detection Matlab source code

小波分析在脑电信号分析中的应用，希望对大家有帮助-Wavelet analysis in EEG analysis, in the hope that we have to help