topsis_1.0

matlab 在电子信息中的应用 有很多实例，很好很强大(matlab in the application of electronic information in many instances, a very powerful)

雷达信号脉冲时域频域压缩/MTI/MTD仿真程序(Radar signal pulse in time domain frequency domain compression/MTI/MTD simulation program)

线性调频信号 (Linear FM)

Simulation Montecarlo Integral2

1.O——Hungarian.m 主要功能： 实现匈牙利算法，最终产生关联矩阵 2.trackassoicataion_hgm 主要功能： 1）实现两个传感器对三条航迹的估计； 2）实现两个传感器三组数据的关联； 3）统计误关联-步数的关系，画出结果图。(1.O- Hungarian.m The main function: Hungarian algorithm to achieve, ultimately produce correlation matrix 2.trackassoicataion_hgm The main function: 1) to achieve two sensors estimate of three tracks 2) to achieve the two sensors associated with the three sets of data 3) statistical error associated with- relationship the number of steps, the results shown in Fig.)

基于MATLAB的FIR数字滤波器设计基于MATLAB的FIR数字滤波器设计(MATLAB-based FIR digital filter design is based on MATLAB for FIR digital filter design)

一个比较新的多目标优化算法，调试过，望大家喜欢(A relatively new multi-objective optimization algorithm, debugged, hope you like)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)

ID3决策树算法，实现不同条件下数据的分类(ID3 decision tree algorithm, the classification of data under different conditions)

基于混沌理论的图像解密算法，希望对研究图像加密解密的人员有帮助。(Based on chaos image decryption algorithm ,i hope it will be helpful. )