这是一个使用VC++编写的“一维信号小波分解与重构的VC++源程序”，请站长检查...

这一个尝试编写的有关神经网络的训练，测试的相关VC++的源程序-try this one prepared by the neural network training and testing of the source code of VC

S变换是小波变换的一种扩展，有非常大的价值-S transform is an extension of wavelet transform, has a very large value

基于matlab的gabor滤波器，选择目标频段，一个不错的信号处理工具-Based on the gabor filter matlab, select the target band, a good signal processing tools

it is a function to add back using wavelet

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!

很多时候需要小波基的细化，这是一个简单好用的小波基细化程序-often needs small Porgy Thinning, it is a simple and easy procedure thinning small Porgy

FFTW 3.01 目前为止最好的FFT函数库,速度和精度都没得说-far the best FFT functions, speed and accuracy have to say no

说明如何在FPGA中实现FFT-on how to achieve the FFT FPGA

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