系列小波算法c程序

基于Matlab的数字图像相关法的程序实现，本文简单介绍了基于小波变换的图像分解和重构，在此基础上讨论了Matlab语言环境下图像压缩和图像融合的基本方法。-Matlab-based digital image correlation method of the program, this article briefly introduce the wavelet-based image decomposition and reconstruction, on the basis of discussion under the Matlab language environment image compression and image fusion of the basic method.

小波算法的VC实现- Wavelet algorithm VC realizes

基于小波变换的彩色图像压缩.-based on wavelet transform color image compression.

本程序用于实现一层小波变换，即在频域对图像进行处理-the procedures used to achieve a layer of wavelet transform, in the frequency domain for image processing

用于打开XRF中的能谱数据，对数据进行小波变换，得到比较好的效果-诖 XRF械 荩 萁 小 玫 冉 虾 玫效 term

基于小波变换的数据融合- Fuses based on the wavelet transformation data

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

小波变换实现源码，小波学习的必备参考，请大家分享-source wavelet transform, wavelet learning essential source, please share

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

使用小波变换的图像边缘检测算法-use wavelet transform Edge Detection Algorithm