Visual C++小波变换技术与工程实践（小波变换现实渐进传输的应用）...

小波分析在脑电信号分析中的应用，希望对大家有帮助-Wavelet analysis in EEG analysis, in the hope that we have to help

此系统包含多种数字信号调制，使用方便，特别适用于初学者！-Welcome to domnloads my code !thank you !

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook

vc写的实现小波处理，滤波，复原，融合等源程序-vc wrote realize wavelet processing, filtering, restoration, integration, such as source

c++ 实现的小波变换-c achieve the wavelet transform

快速提升小波变换的源程序，可以处理一维和二维信号和图像。-quickly upgrade wavelet transform of the source, can handle one-dimensional and two-dimensional signals and images.

小波变换的由来及概念，怎么样计算小波变换，直观的形象的理解小波变换。-Wavelet transform and the concept of the origin, how the calculation of wavelet transform, intuitive understanding of the image wavelet transform.

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

关于小波的图像分析的源码-on wavelet analysis of the source image

经典的小波变换程序-classic wavelet transform procedures