利用小波变换进行图像边缘提取，用matlab语言编写实现。edgedetect_basedonWavelet.m...

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

基于小波分析理论实现的红外图像与可见光图像融合-Based on wavelet analysis theory of the realization of the infrared image and visible image fusion

CDF 9/7 Wavelet Transform matlab code-CDF 9/7 Wavelet Transform Matlab code

实现哈尔小波变换（压缩算法）-achieve Khan wavelet transform (compression algorithm)

白光的单缝衍射-white single-slit diffraction

Dirty paper trellis code for watermarking

小波变换在图像边缘检测中的应用研究-wavelet transform in the image edge detection of Applied Research

最新的小波变换图象处理-latest wavelet transform image processing

Calculating Beat rate of heart by DWT

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