一个小波分析源代码

％threerayRayleigh.m ％ Last Homework pp. 253 5.31 (Second Edition English) ％ Default parameters ％ -threerayRayleigh.m%% Last Homework pp. 2 53 5.31 (English Second Edition) para% Default meters%

小波变换源代码，实现了几种不同的小波变换-Wavelet Transform source code, to achieve a number of different wavelet transform

多维小波变换工具箱，含具体实例说明，简单易学-Multi-dimensional wavelet transform toolbox, with specific examples, easy to learn

本文档内有5篇比较经典的小波图象压缩方面的论文,对于小波变换,小波压缩爱好者有极大的帮助-this documentation within five classic comparison of wavelet image compression papers, the wavelet transform, Wavelet compression lovers of great help

包括两个例子：一个演示一维小波变换，另一个演示二维小波变换。-Including two examples: a demonstration of one-dimensional wavelet transform, another demonstration of two-dimensional wavelet transform.

一个具体的小波变换实现源代码； wavelet 子目录中存放的是基本的小波处理函数代码； wavelet_plugin 子目录中存放的是.dll的实现代码。- A concrete wavelet transformation realization source code; In the wavelet child directory deposits is the basic wavelet processing function code; In the wavelet_plugin child directory deposits is dll realization code.

Wavelet Theory Demystified

97小波变换的c语言源程序，可供学习小波者参考-97 Wavelet Transform c language source code for learning wavelet reference

由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today

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