An Introduction to Wavelets

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

MakeBSFilter产生完全重构双正交对称滤波器 MakeBSWavelet产生双正交对称小波和尺度函数的图形-MakeBSFilter have completely remodeling Biorthogonal symmetrical filter MakeBSWave have let biorthogonal wavelet and symmetric scaling function graphics

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

本代码给出了图像的二维离散小波变换分解、重构图像以及误差图像。-The code gives the two-dimensional image decomposition of discrete wavelet transform, image reconstruction and the error image.

有操作界面，能实现行列变换，小波变换，滤波和逆变换-Interface has to realize the ranks of transform, wavelet transform, filtering and inverse transform

基于小波变换的图像压缩方法。应用SOPM改善。-Based on wavelet transform image compression method. SOPM applications to improve.

基于LMS（最小均方误差算法）自适应滤波的信源，基于Matlab

applies soft-threshold t to all elements of x and computes SURE

小波与计算机图形学-wavelet and computer graphics

详细介绍了小波变换的相关知识-Detailed knowledge of the wavelet transform