小矢量变换

系列小波算法c程序-Series of wavelet algorithm c program

小波十讲，是一本世界范围公认的经典学术名著,是当代数学著作中一本影响巨大的绝妙好书-Wavelet

这是用VC编写得karman滤波，由于设计了矩阵运算，所以将程序拆开写了-A kalman filter function written with VC and be split because matrix operation has been designed.

小波变换与应用实例（超星格式电子书）-wavelet transform and application examples (Superstar format e-books)

一维小波变换及其实现，VC＋＋编程实现。-One-dimensional wavelet transform and its implementation, VC programming.

采用Matlab编写的小波变换之金字塔分解与重构，该代码很基础，适合初学者了解小波变换-Matlab prepared using the pyramid wavelet transform decomposition and reconstruction, the code is the basis of wavelet transform suitable for beginners to understand

是图像的二维小波变换加上压缩编码，效果好-Is the image together with two-dimensional wavelet transform coding, effective

离散小波变化的程序，用C＋＋代码实现。其中子函数包括墨西哥帽函数，待分析函数-discrete wavelet changes in the procedures, using C++ code to achieve. Functions which include Mexico apparatus function, pending analysis functions

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

利用小波变换对信号进行分析处理,现代信号处理,胡广书编-using wavelet analysis of signal processing, modern signal processing, Mr Kwong Textbook