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说明：  脑电地形图matlab代码，包括电极位置文件和使用说明，麻雀虽小五脏俱全，下载后可直接使用(BEAM matlab code, including electrode position files and instructions for use, small but perfectly formed, the download can be used directly)

Code that performs cardinality constrained optimization for different filter types

bras manipulateur d un robot

计算齿轮啮合刚度的matlab程序，非常有用的，希望大家积极下载(Matlab program for calculating gear mesh stiffness. It is very useful. I hope you can download them actively.)

用MATLAB编写的小波模极大值一维去噪程序，程序完整。(Prepared using MATLAB one-dimensional wavelet modulus maxima denoising process, the program integrity.)

Speech Recognition using Neural Networks

本文主要阐述了DTMF的原理及如何在MATLAB上产生DTMF信号，主要涉及到电话拨号音合成的基本原理及识别的主要方法，利用 MATLAB 软件以及 FFT 算法实现对电话通信系统中拨号音的合成与识别。并进一步利用 MATLAB 中的图形用户界面 GUI 制作简单直观的模拟界面。 能够利用矩阵不同的基频合成 0 － 9 不同按键的拨号音，并能够对不同的拨号音加以正确的识别，实现由拨号音解析出电话号码的过程，完成对电话拨号音系统的简单的实验仿真。-This paper described the principle and how DTMF in MATLAB to generate DTMF(This paper describes the principle of DTMF and how MATLAB to generate DTMF signals, mainly related to the telephone dial tone and identification of the basic principles of synthesis of the main method, using MATLAB software, and the FFT algorithm to the telephone communication system, the synthesis and identification of dial tone . And further the use of MATLAB' s graphical user interface simple and intuitive GUI make the analog interface. Able to use a different fundamental frequency matrix synthesis of 0- 9 different button dial tone and can be different correct identification of dial tone to achieve by the dial tone of the process of parsing a telephone number to complete the telephone dial tone system, a simple experiment simulation.-This paper described the principle and how DTMF in MATLAB to generate DTMF)

its the code for face detectiona and regeneration

简单计算DBR的matlab文件，计算激光器的分布反馈(the caculation of DBR in lase of ditributed feedback reflector)

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)