VideoLab

说明：  多天线等距线阵阵列波束形成，鲁棒稳健处理程序(Equidistance line bursts out multi-antenna beamforming, robust sound processing)

Block Matching Algorithms for Motion Estimation This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University. Following is a short description of the m files in this zip motionsEstAnalysis.m Script to execute all Algorithms motionEstES.m Exhaustive Search Algorithm motionEstTSS.m Three Step Search Algorithm motionEstNTSS.m New Three Step Search Algorithm motionEstSESTSS.m Simple And Efficient Search Algorithm motionEst4SS.m Four Step Search Algorithm motionEstDS.m Diamond Search Algorithm motionEstARPSm Adaptive Root Pattern Search Algorithm costFuncMAD.m Mean Absolute Difference Function minCost.m minimum cost among macro blocks motionComp.m motion compensated image creator imgPSNR.m finds image PSNR w.r.t. reference image The test images can be found at http://cc.usu.edu/~arohb/caltrain.zip

很好的程序，学习的可以看看啊，很不错的啊(Very good program, learning to see, ah, ah very good)

这是我自己用MATLAB编的一个扫雷小游戏,程序比较经典,希望和大家一起分享.(This is for my own use MATLAB series of the game a small mine, the procedure is classic, want to share with everyone.)

用QPSK信号实现beamforming操作并画出阵列响应图(Using QPSK signal to fulfil beamforming in array signal processing)

A implementation of support vector regression in matlab.

说明：  machine vision 工具箱，一直都在用，做机器视觉参考(machine vision toolkit has been used, so machine vision reference)

image proceesing packet no1

FRFT算法实现程序，用分数阶傅里叶变换进行信号处理，得到对应的视频图(frft simulation using matlab)

本书是基于Matlab6.5的优化工具箱v2.2编写的。书中全面系统地介绍了优化方法的基础理论和优化工具箱v2.2函数的功能、语法和工程实际应用。全书侧重于优化工具箱在工程中的具体应用，通过具体的分析和详细的实例，读者不仅能对Matlab优化工具箱函数的强大功能与一个深刻的了解，更能学会正确运用优化工具箱函数快速解决实际问题，从而提高分析问题和解决问题的能力(This book is based on the optimization toolbox v2.2 Matlab6.5 prepared. The book introduces a comprehensive and systematic optimization approach is based on theory and optimization toolbox v2.2 of functionality, syntax and engineering applications. The book focuses on the optimization toolbox of specific applications in engineering, analysis and detail through specific examples, the reader not only to the Matlab optimization toolbox function power and a profound understanding, better learn to correctly use the fast optimization toolbox function solve practical problems, thereby improving analysis of problems and problem-solving ability)