小波变换的一些源

小波算法以及提升格式的实现。用C++实现,Visual C++,Wavelet-wavelet algorithm and the realization upgrade format. C to achieve, Visual C, Wavelet

本文档内有5篇比较经典的小波图象压缩方面的论文,对于小波变换,小波压缩爱好者有极大的帮助-this documentation within five classic comparison of wavelet image compression papers, the wavelet transform, Wavelet compression lovers of great help

对一帧YUV比为4:2:0的图象用高通和低通滤波器进行离散小波变换和反变化并输出图象

ICA算法The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.-ICA algorithm:The algorithm is equivalent to Infomax by Bell and Sejnowski 1995 [1] using a maximum likelihood formulation. No noise is assumed and the number of observations must equal the number of sources. The BFGS method [2] is used for optimization. The number of independent components are calculated using Bayes Information Criterion [3] (BIC), with PCA for dimension reduction.

一种基于模糊规则和小波变换的医学图像锐化增强算法-Based on fuzzy rules and wavelet transform for medical image sharpness enhancement algorithm

小波图象去噪综述谢杰成张大力徐文立-Wavelet Image Denoising vigorously Jie Zhang Xu Wenli

连续小波变换源程序-CWT source

％ File: Jakes_filter.m ％ Software given here is to accompany the textbook: W.H. Tranter, ％ K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of ％ Communication Systems Simulation with Wireless Applications, ％ Prentice Hall PTR, 2004.- File: Jakes_filter.m Software given here is to accompany the textbook: WH Tranter, KS Shanmugan, TS Rappaport, and KS Kosbar, Principles of Communication Systems Simulation with Wireless Applications, Prentice Hall PTR, 2004.

基于小波变换的图像滤波处理，程序很简单采用的是差分实现小波变换-based on wavelet transform image filtering, a very simple procedure using the wavelet transform to achieve Differential

由于小波变换具有良好的时频分析特性，已经广泛应用于各种信号分析领域。由于小波变换算法的复杂性，如果直接计算小波变换，所需内存较大，耗时较长。尽管当今处理器芯片运算速度得到了大幅度的提高，但仍然在实时性上不能满足要求。为了简化计算过程，人们相继设计了一系列的快速算法来计算小波变换，以降低其运算次数。-Since the wavelet transform has good time-frequency analysis features, has been widely used in various fields of signal analysis. Wavelet transform algorithm as a result of the complexity, if the direct calculation of wavelet transform, the larger memory requirements, a longer time-consuming. Despite the computational speed of today