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小波变换的源代码，在vc下实现，速度较快，可以选择各种小波-wavelet transform source code, under the vc, faster, we can choose various wavelet

通过小波变换，由小波系数的梯度值提取图像的边缘-wavelet transform, wavelet coefficients from the gradient from the edge of the image

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

一个简单但很好用的整数提升小波，可直接对图象变换，采用53或97小波-a simple but well rounded upgrade the wavelet can directly transform the image using wavelet 53 or 97

小波变换技术与工程实践：图像的小波变换(MFC框架下)-Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework)

正交变换，包括离散余玄转换，快速浮离叶变换，小波变换等。-orthogonal transformation, including discrete Yuxuan conversion, floating from the fast Fourier transform, wavelet.

一个很好用的示波器类，很漂亮的示波器演示程序-Oscilloscope used in a very good type, I am pretty Oscilloscope demo

利用小波变换和特征加权进行纹理分割,很简单,初学者-Using wavelet transform and feature weighting to texture segmentation, very simple, for beginners

It is used to filter the info. using wavelet transform

小波变换的一些源程序-wavelet transform some source