基于带参数整数小波变换可见数字水印，技术很前沿

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.

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

小波变换，D4尺度函数和小波函数图形绘制-Wavelet transform, D4 scaling function and wavelet function Rendering

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

此代码是用在被成为数学魔法师的MAPLE软件上运行的。此代码清晰的描述了欧拉公式的图象变换。以及如何在MAPLE里解欧拉公式。-This code is used in the magician to become the MAPLE mathematical software running. This code describes a clear image transform Euler formula. And how to MAPLE Euler formula in solution.

是二维图象的小波变换和逆变化.可以直接编译运行和调试-is two-dimensional image inverse wavelet transform and change. Can be directly translated running and debugging

kalman滤波程序，以及相关文档，英文注释详细-Kalman filtering procedures, and related documentation, detailed English Notes

Routines for noise reduction by wavelet coefficient thresholding

小波变换的一些源程序-wavelet transform some source

基于小波和模糊理论的纹理分割方法,过程非常详细-Based on wavelet theory and fuzzy texture segmentation method, a very detailed process