小波参考书籍，适合初学者，内附matlab代码

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

computation multiwavelet transform an image (BAT O2 multiwavelet transform)

在VC6.0下实现的小波变换算法，与大家分享-VC6.0 achieved in the wavelet transform algorithm, and the U.S. share

很多时候需要小波基的细化，这是一个简单好用的小波基细化程序-often needs small Porgy Thinning, it is a simple and easy procedure thinning small Porgy

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

小波神经网络程序基于反向传播训练-wavelet-based neural network program back propagation training

自己写的小波图像压缩，包括普通压缩和序列图像压缩-himself wrote of wavelet image compression, including the compression and ordinary sequence Image Compression

小波变换学习的绝好资料,,不同于一般的数学抽象推导,一定要看看.我看了以后收获非常大-Exellent material for wavelet study. It is different from general mathematical calculations. You should read it. I benefit a lot from reading it.

FFTW 3.01 目前为止最好的FFT函数库,速度和精度都没得说-far the best FFT functions, speed and accuracy have to say no

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.