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...

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

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.

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

图象fft变换-Image Transform qqqqqqqqqqqqqqqqqqqqqqqqqqqqq

超声工业测量技术-industrial ultrasonic measurement technology

用matlab编的互动傅立叶滤波程序,方法简单,实用.-Fourier series of interactions with matlab filtering process, method is simple and practical.

完整小波变换类,包括一个头文件,实现文件和一个readme文件-Complete wavelet transform categories, including a header file, files and a readme file

一个很好用的示波器类，很漂亮的示波器演示程序-Oscilloscope used in a very good type, I am pretty Oscilloscope demo

Wavelet denoise 实用小波库-Wavelet denoise practical wavelet library

经典二维小波变换MATLAB程序 -wavelet tansformation in matlab