详细介绍了小波变换的相关知识

Calculating Beat rate of heart by DWT

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook

系列小波算法c程序-Series of wavelet algorithm c program

2D_wavelet 小波变换，SPIHT编解码，改进SPIHT,零数编码，解码-2D_wavelet wavelet transform, SPIHT codecs, improved SPIHT, zero coding, Decoders

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

水波纹，非常逼真的实现方法，从codeproject上得到的灵感，现已实现！-Water ripple, very realistic way to realize, from the codeproject been the inspiration, now realize!

不错的界面 不错的界面 不错的界面 不错的界面 -混合

二进小波，非极大值抑制，模极大值的边缘检测程序-Dyadic wavelet, non-maxima suppression, modulus maxima of the edge detection procedure

多维小波变换工具箱，含具体实例说明，简单易学-Multi-dimensional wavelet transform toolbox, with specific examples, easy to learn

用基于小波变换的方法采用coif5小波对信号进行谐波分析-Wavelet Transform-based Methods coif5 harmonic wavelet analysis of signals