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关于基于解相干的MUSIC的源程序，分别列出Toeplitz,矩阵分解，奇异值分解等情况~~~(ABOUT MUSIC based decorrelation of the source, respectively, which are listed several possible scenarios ~ ~ ~)

matlab toolbox robot create

说明：  图像的加密与解密，非常好的一个例子，可以学到不少的好东西。。(Image encryption and decryption, a very good example, can learn a lot of good things. .)

适合于大学生或工程硕士的工科计算方法课件(Numerical analysis for undergraduate students)

pid和GPC算法的结合，通过两种算法的结合，相互补充。(pid and GPC algorithm combined, through a combination of two algorithms complement each other.)

本PDF提供了用matlab实现OFDM的源代码。(OFDM using matlab source code)

通信仿真与软件无线电教程，主要介绍通信实验用matlab软件进行仿真教程(Simulation and software radio communication tutorial focuses on communication experiment simulation software tutorial with matlab)

ABC即人工蜂群算法，本代码描述了人工蜂群算法解决函数优化问题。(ABC namely artificial bee colony algorithm, this code describes the function of artificial bee colony algorithm to solve optimization problems.)

说明：  platEMO是Ye Tian等学者写的一款基于MATLAB的多目标优化工具，为新入门的同学或者开发者提供了很大的便利，其今年已经发布到PlatEMO 2.0版本了。这款工具主要具有以下的几个特点： 1.完全由MATLAB开发，不需要任何其它库。 2.包括现有的90个流行的MOEAs，包括遗传算法、差分进化、粒子群优化、模因算法、分布估计算法和基于代理模型的算法。其中大多数是2010年以后在顶级期刊上发表的代表性算法。 3.用户可以显示各种图形，包括结果的pareto front，真实的pareto front等等。 4.强大友好的GUI，可以不用编辑任何代码。 5.可以直接生成Excel或者LaTex。(PlaEMO is a multi-objective optimization tool based on MATLAB written by Ye Tian and other scholars. It is a great convenience for beginners or developers. It has been released to PlatEMO version 2.0 this year. This tool has the following characteristics: 1. Developed entirely by MATLAB without any other libraries. 2. Including 90 popular MOEAs, including genetic algorithm, differential evolution, particle swarm optimization, meme algorithm, distribution estimation algorithm and proxy model-based algorithm. Most of them are representative algorithms published in top journals after 2010. 3. Users can display various graphics, including Pareto front, real Pareto front and so on. 4. Powerful and friendly GUI, you can edit no code. 5. Excel or LaTex can be generated directly.)

本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。(This paper aims at development and performance analysis of a speaker dependent speech recognition system using MATLAB® . The issues that were considered are 1) Can Matlab, be effectively used to complete the aforementioned task, 2) Accuracy of the Gaussian Mixture Model used for parametric modelling, 3) Performance analysis of the system, 4) Performance of the Gaussian Mixture Model as a parametric modelling technique as compared to other modelling technique and 5) Can a Matlab® based Speech recognition system be ported to a real world environment for recording and performing complex voice commands. The aforementioned system is designed to recognize isolated utterances of digits 0-9. The system is developed such that it can easily be extended to multisyllabic words as well.)