TI C64X下垂直小波变换的手工汇编源代码

这一个尝试编写的有关神经网络的训练，测试的相关VC++的源程序-try this one prepared by the neural network training and testing of the source code of VC

第二代提升法实现的小波变换程序-second-generation upgrade of the law to achieve wavelet transform procedures

小波算法的VC源代码，说明详细，有很强的参考价值-Wavelet algorithm VC source code, detailed description, have a strong reference value

采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source

完整小波变换类,包括一个头文件,实现文件和一个readme文件-Complete wavelet transform categories, including a header file, files and a readme file

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

Daubechies 小波-Daubechies wavelet

一个非常有用的基于小波的图象压缩软件-a very useful wavelet-based image compression software

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

图像处理Matlab源码，没有详细说明的图像处理Matlab源码，没有详细说明