ondas

说明：  LMS自适应均衡仿真matlab例子特征值扩散度，步长参数的学习曲线仿真(LMS adaptive equalization Matlab simulation examples eigenvalue proliferation, a step learning curve parameters Simulation)

a function for image thresholding

基于MATLAB的粒子群优化算法程序设计，经典算例。(MATLAB-based particle swarm optimization program design, the classic example.)

在网上那个找到的系统辨识与自适应控制程序 大家分享(To share in the online that found in the system identification and adaptive control procedures)

matlab里面有用的一个时频工具箱，可以做wvd等(matlab inside a useful time-frequency toolbox, you can make such wvd)

MATLAB神经网络功能的使用教程，详细介绍了神经网络技术的功能、原理及编程(The use of MATLAB neural network function tutorial, neural network technology was introduced in detail the function, principle and programming)

异步电动机转差频率控制系统仿真，在matlab7.0下运行没任何问题，转速、磁链等参数都有显示，适合想要学习电机控制方针和矢量控制的。G1=35，G2=0.15，G3=0.0076，G4=2，G5=G6=9.55(Asynchronous motor slip frequency control system simulation, under the matlab7.0 running without any problems,, according to the parameters such as speed, flux has suited to want to learn motor control principle and vector control.)

说明：  运用最小二乘法对传感器进行了建模和反建模，可以对其补偿(The least square method of modeling the sensor and anti-model, can be compensated for its)

基于MATLAB的OFDM仿真程序，仿真模块包括BPSK,QPSK,16QAM,64QAM(MATLAB simulation program based on the OFDM simulation module including BPSK, QPSK, 16QAM, 64QAM)

这是第一版的AsymPDC工具包。用来处理PDC，gPDC和iPDC有关内容。运行环境为Matlab,并且要求至少Matlab中预装了3个工具箱：控制系统，信号处理和统计工具箱。(This is the first public release of AsympPDC package. It deals with the asymptotic statistics for PDC, gPDC and iPDC. AsympPDC runs under Matlab and is a practically self-contained except for requires routines from three Matlab toolboxes: Control System, Signal Processing, and Statistical. It is not extensively tested yet. It was partially tested under Windows, Macintosh and Linux environments with Matlab version 7.0 and higher. Please report any incompatibility to ksameshi[at]usp.br or baccala[at]lcs.poli.usp.br. Additionally for cosmetic purposes, the pdc_xplot routine uses several Matlab users contributed codes: subplot2.m (modified old version of supbplot to control spacing between subplots), shadedplot.m (developed by Dave Van Tol), suplabel.m (for label and title plotting in subplot figures, by Ben Barrowes), suptitle.m (contributed by Drea Thomas, for adding title above all subplots), and tilefigs.m (for tiling figures for simultaneous visualization, by Charles Plum))