mysteryofcode

这是《小波分析理论与MATLABR2007实现》的源代码。主要是基于Matlab的小波工具箱实现小波基选择、小波包分解、Mallat变换以及小波变换在边缘提取、图像去噪、数据压缩等中的应用，特别包含了二代提升小波的相关内容，理论与实际相结合。大家想要了解的二进小波、正交镜像滤波器组[QMF]等概念这里都有体现。(This is 《MATLABR2007 wavelet analysis theory and implementation》 of the source code. Mainly based on the Matlab wavelet toolbox implementation of wavelet selection, wavelet packet decomposition, Mallat transform and wavelet transform in edge detection, image denoising, data compression, such as the application, in particular, contains a second generation of relevant content Lifting Wavelet theory and reality. Everyone wanted to know about the dyadic wavelet, quadrature mirror filters [QMF] concepts are embodied here.)

压缩感知优化算法代码，一个有意思尝试，希望对大家有用(Compression-aware code optimization algorithm, an interesting attempt to)

这是我师兄做的空间谱估计的内容。这只是一小部分程序，希望大家能够接受，下载吧。(this done I saw the space Spectral Estimation content. This is only a small part of the procedure, hoping that everyone can accept, download it.)

matlab入门 大家共同进步 欢迎下载(Introduction to matlab download welcome to the common progress of U.S.)

在图像处理之中的对已经进行多小波分解的信号进行重构的Matlab实验程序(In image processing have been conducted among more than wavelet decomposition of signals reconstructed experimental procedures Matlab)

说明：  带挡板的平行板传输线二维FDTD仿真,FDTD,matlab程序(With a baffle plate transmission line parallel two-dimensional FDTD simulation, FDTD, matlab program)

信号的时移 y(t) = x(t - t0) 其中，t0为位移量。若t0为正数，则y(t)等于将x(t)右移t0秒之后的结果(This program is used to implement the time-shift operation )

ping internet avariabile

buttonIcon = createButtonLabel(string,PVs,figOpt) Have you ever been frustrated by an inability to label a vertically oriented pushbutton or uicontrol with a string? This function is for you! All valid Parameter-Value pairs, INCLUDING TEXT ROTATION, are supported. Note that this function requires the Image Processing Toolbox, and that it triggers the creation of a temporary figure, which will be momentarily visible during button-label creation.

基于小波变换的特征检索算法，用了广义高斯函数和K-L距离为相似侧度 (Wavelet-Based Texture Retrieval Using Generalized Gaussian Density and Kullback–Leibler Distance)