IDW

说明：  各种波束形成方法的集合，非常好用，当然，非原创。(A collection of various beamforming methods, very easy to use and, of course, non-original.)

基于MATLAB7_0软件的实时数据交换的实现(Based on the implementation of real-time data exchange software MATLAB7_0)

in this zip folder contains the how to extract the key frames and how to add the noise and RGB.

基于混沌加密的离散小波变换域数字图像水印算法的研究的期刊论文(DWT Based on Chaotic Encryption Algorithm for Digital Image Watermarking domain of research journal articles)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.

基于MATLAB仿真程序，使用牛顿迭代法，在已知时延先验信息的基础上，对目标实现无源定位。 程序内还包含符号迭代和等值线绘图等角复杂代码。希望对研究无源定位的同志有所帮助。(MATLAB-based simulation program, using Newton s iterative method, the known delay on the basis of prior information on target to achieve passive positioning. Symbols within the program also includes iteration and contour drawing isometric complex code. Hope the study of passive location comrades help.)

常规波束形成与最小方差法的比较，从而看出两个算法的分辨力高低()

take the MATLAB language, and cite several examples to explain in detail what is the genetic algorithm

matlab部分实验原码,从朋友那里要过来的,相信对刚学这个软件的人朋友们有用.(Matlab part of the experiment, the original code, from friends to the apartment. I think just learning the software useful friends.)

matlab实现用双线性插值法放大和缩小图像(Zooming and Shrinking Images by Bilinear Interpolation (a) Write a computer program capable of zooming and shrinking an image by bilinear interpolation. The input to your program is the desired size of the resulting image in the horizontal and vertical direction. You may ignore aliasing effects. (b) Download Fig. 2.19(a) and use your program to shrink this image 1024 x 1024 to 256 x 256 pixels. (c) Use your program to zoom the image in (b) back to 1024 x 1024. Explain the reasons for their differences. )