一个小波分析源代码

小波变换具有良好的时―频局部性，是分析奇异信号的重要方法定点DSP在工程中的厘用士分背通，具实现小波变换可以满足工程是实时性的要求文中简要介绍了小波变换理论及算法，并结合TI公司的16位定点说明算法的实现。 -Wavelet transform has a good time- frequency localization, is to analyze the singular signal an important means of fixed-point DSP in engineering per cent pass with disabilities at the back with the realization of wavelet transform to meet the project is a real-time requirements of the article a brief introduction of wavelet transform theory and algorithm, combined with TI

用Visual C++编写的小波表换，小波除噪程序，可以显示信噪比，我的本科毕业设计，吐血推荐-prepared using Visual C table for the wavelet, wavelet denoising procedures can demonstrate SNR, I graduated from the undergraduate Design, hematemesis Suggest

提供两种常用滤波方法的VC源程序，已经运行通过。-offers two commonly used methods of filtering source VC has been running through.

dwt小波变换，用于对图像处理与压缩-dwt wavelet transform, for the image processing and compression

基于opencv开源图像库作的一个轮廓识别的程序，要在图像处理软件中使用的加，对算法作了改进-opencv revenue based on the images for the identification of an outline of the procedure, in the image processing software used in Canada, the algorithm has been improved

小波分析的讲座，小波分析一直是研究热点，此讲座很好-wavelet analysis lectures, wavelet analysis research has been a hot topic of this seminar very good

小波讲座ppt，理论鲜明，讲解清楚，容易理解。-Wavelet lectures ppt, distinct theories to explain the clear and easy to understand.

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

给予小波变换的图像处理，能够形成图像的分割与拼接-Given wavelet transform image processing, image segmentation can be formed with the splicing

图象处理中的一些经典代码 周长发书上的原代码 小波变换-Image processing code in a number of classic books weeks long code of the original wavelet transform