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永磁同步电机的矢量控制方法仿真，在matlab的simulink环境下(Permanent magnet synchronous motor vector control method for simulation of simulink in matlab environment)

衰落信道仿真 function r = rayleigh( fd, fs, Ns ) r = rayleigh(fd,fs,N) A Rayleigh fading simulator based on Clarke s Model Creates a Rayleigh random process with PSD determined by the vehicle s speed. INPUTS: fd = doppler frequency set fd = v*cos(theta)/lambda v = velocity (meters per second) lambda = carrier wavelength (meters) theta = angle w/ respect to tangent (radians). fs = sample frequency (Samples per second) Ns = number of samples of the Rayleigh fading process to produce OUTPUTS: r = row vector containing Ns samples of the Rayleigh fading process Author: Matthew C. Valenti Mobile and Portable Radio Research Group Virginia Tech For Academic Use Only (Fading channel simulation)

8FSK的调制信号的产生、理论误码率及实际误码率统计分析(8FSK modulation signal s theoretical and actual BER analysis)

车辆间通过协作进行消息发送的matlab仿真，车辆间采用联合博弈论机制进行消息共享(Between vehicle matlab simulation messages sent through collaboration, joint inter-vehicle use game theory message sharing mechanism)

Its a source code in MATLAB

超宽带通信压缩感知信道估计与信号检测方法(Ultra Wide-Band Channel Estimation and Signal Detection Through Compressed Sensing )

水声合成孔径的波束形成，并采用fftsa和Etam算法分别进行仿真。集中在一个界面里。(Synthetic aperture acoustic beam forming and using fftsa and Etam algorithms are simulated. Concentrated in an interface where.)

计算电磁学 二维廖氏吸收边界程序 采用MATLAB编写(Lio dimensional computational electromagnetics absorbing boundary program written using MATLAB)

％ File: Jakes_filter.m ％ Software given here is to accompany the textbook: W.H. Tranter, ％ K.S. Shanmugan, T.S. Rappaport, and K.S. Kosbar, Principles of ％ Communication Systems Simulation with Wireless Applications, ％ Prentice Hall PTR, 2004.( File: Jakes_filter.m Software given here is to accompany the textbook: WH Tranter, KS Shanmugan, TS Rappaport, and KS Kosbar, Principles of Communication Systems Simulation with Wireless Applications, Prentice Hall PTR, 2004.)

The sign language recognition to create a to store the training image, the video capture infront the user image and each sign language assign the letter the preprocessing the image then image is convert into rgg to cbcr. The image is segmented feature extract the shape and skin color then use the svm classification.