MUSIC

由matlab解决多旅行商问题，并且包括矩阵计算等功能(From matlab to solve multi-traveling salesman problem, and includes features such as matrix calculation)

说明：  003小波变换及其MATLAB工具的应用(003 DWT and MATLAB application tools)

基于Matlab的一MMSE的噪声PSD的执行跟踪的语音增强算法。这个包是一所描述的算法实现在“基于MMSE的低噪声PSD的跟踪与复杂性”，由理查德亨德里克斯，理查德Heusdens和Jesper詹森，IEEE国际会议声学，语音和信号处理，03/2010，达拉斯，德克萨斯州，p.4266 - 4269，（2010年）。 该算法具有较低的复杂性，但能够准确地估计非平稳的延迟相当低噪声PSD的跟踪噪声。(Matlab implementation of an MMSE based noise PSD tracking algorithm for speech enhancement. This package is an implementation of the algorithm described in "MMSE BASED NOISE PSD TRACKING WITH LOW COMPLEXITY", by Richard C. Hendriks, Richard Heusdens and Jesper Jensen, IEEE International Conference on Acoustics, Speech and Signal Processing, 03/2010, Dallas, TX, p.4266-4269, (2010). The algorithm has rather low complexity, but is able to accurately estimate the noise PSD for non-stationary noise with rather low tracking delay. )

Analog Filter design in Matlab environment

Simulations of rectangular waveguide using matlab

可以进行简单的人脸识别，程序简单适合初学者！！(It is a very simple matlab program of face detection.)

navigation.rar包含5个有用的导航程序； navigation.m为纯惯导解算程序； integrated_navigation为组合导航程序； KalmanAlign10.m为卡尔曼滤波对准程序； create_data.m为原始数据创建程序； ssm.m为结果显示程序(navigation.rar contains five useful navigation program navigation.m pure INS solver KalmanAlign10.m for the Kalman filter alignment procedures create_data.m create a program for the original data integrated_navigation for integrated navigation procedures ssm. m is the result display program)

EZW coding example.......

Bernstein_chebyshev_Lagrange等基函数编写和实现(Bernstein_chebyshev_Lagrange basis functions, such as the preparation and implementation)

Help psoToolbox V1.0 psoToolbox provides an interective GUI based Toolbox to solve optimization problems using particle swarm optimization. Creat a fitness function in M-file. Inputs: Function : Function handle of fitness function. Nvars : Number of variable to be optimized. LB : Lower Bound of Nvars (1 X Nvars) UB : Upper Bound of Nvars (1 X Nvars) Parameters: C1 : Cognative Attraction C2 : Social Attraction W : Inertial Population Size : Number of Swarms Max Iterations : Maximum number of epochs. Click on " RUN PSO " button to start PSO search. You will get the out put at Edit box below the axes.