小波变换源代码，用于图像分析，包括图像压缩、纹理分析和识别。...

二维二进小波变换源码-Dyadic wavelet transform of two-dimensional source

3D的小波变换编码，用的是SPIHT方法。-3D wavelet transform coding, SPIHT method is used.

《小波分析和应用》第一部分理论部分电子教案-err

该程序包包含若干滤波算法，主要是小波滤波和FFT滤波算法-The program packet includes some arithmetics of filtering, which mainly are wavelet and fft filter methods.

小波滤波的MALLAT算法,程序编写的很容易懂,能实现bd1-db10的小波分解和重构,比我前一次发的小波算法更简单易懂-Wavelet filtering MALLAT algorithm, programming is very easy to understand, to achieve bd1-db10 wavelet decomposition and reconstruction, than I made the previous wavelet algorithm is more straightforward

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

小波变换与工程应用（超星格式电子书籍）-wavelet transform and Engineering Applications (Superstar format e-books)

实行针对图像的DCT以及IDCT变换的源程序。-instituting image DCT and IDCT transformation of the source.

本程序可以实现利用小波变换对图像和数字信号的进行去噪-This procedure can be achieved using wavelet transform for image and digital signal Denoising

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