说明如何在FPGA中实现FFT

小波图象变换的源代码- Wavelet image transformation source code

构造第2代小波的源程序，用MATLAB写的。-the programme of second_wavelet with matlab

多维小波变换实现了一种新的处理方法和途径.-Multi-dimensional wavelet transform to achieve a new deal with ways and means.

静态图象的零树小波编码 c++ builder开发环境-static images Zerotree wavelet encoding c builder Development Environment

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

用小波进行地震信号低切处理的例子-seismic wavelet signal processing low-cut examples

Stanford 小波变换函数集，包含很多最新的小波变换函数-Stanford wavelet transform function set, including many of the latest wavelet transform function

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

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Visual C++小波变换技术与工程实践（小波变换实现虑波）-Visual C wavelet transform technology and engineering practice (wavelet transform worry wave)