不错的界面 不错的界面 不错的界面 不错的界面

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.

emd算法部分程序，建议刚学习的同学看看，很有价值的！-EMD algorithm part of the program, proposed just learning students see great value!

用C++编写的基于提升结构的9/7离散小波变换，边界处理采用的是嵌入式对称结构。-With C++ Prepared to upgrade the structure based on the 9/7 discrete wavelet transform, boundary treatment is used in embedded symmetric structure.

行波-Traveling Wave

数字信号处理，很多种变换，可以直接在matlab中运行，很好用-Digital signal processing, it is a variety of transformations, can be run directly in matlab, very good use

可以用mallat分解的方法实现图像的正反变换-can Mallat decomposition method the pros and transform image

基于带参数整数小波变换可见数字水印，技术很前沿-This is a visible watermark sourcecode based on a integral wavelet transformation with parameters.

小波神经网络,输出节点数为:J个；输入节点数为：I个-wavelet neural network, the output nodes : J; Input nodes : I-

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

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