Single-Phase-Active-Power-Filter-For-Resonant-Con

平均误码率统计的的matlab程序，使用的时候还有一点注意事项，见程序内部说明(The average bit error rate statistics matlab program, when used, also Note, see the procedures for internal instructions)

任意尺度的小波图像分解重构的MATLAB编程方案(Arbitrary scale wavelet image decomposition and reconstruction programs of MATLAB Programming)

matlab code used for analyzing trace files from ns2

simulink简明教程，分6个章节介绍快速入门、建模方法、运行仿真、基本模块、连续系统、子系统及封装，简单易懂，适合初学者(A simple tutorial simulink, sub-chapter on 6 Quick Start, modeling methodology, operation simulation, the basic module, continuous system, subsystem and package easy, suitable for beginners)

该程序为MATLAB版本，其功能是对振动信号进行频域积分(The procedures for the MATLAB version, and its function is a frequency-domain integral vibration signals)

WCDMA model in symulink model in matlab

matlab 5.x版本相关学习资料，包括： matlab5手册； matlab5.x入门与提高； matlab5.x入门与应用； matlab5.x应用与技巧； matlab5.3精彩编程及高级应用； matlab5.x程序设计语言。(matlab 5.x versions of relevant learning materials, including: matlab5 manual matlab5.x entry and improving matlab5.x entry and applications matlab5.x applications and techniques matlab5.3 exciting programming and advanced applications matlab5.x programming language .)

实现音频中添加数字水印的matlab程序(Add audio digital watermarking matlab program)

EKF-SLAM Simulator (version 2.0) ------------------ This simulator demonstrates a simple implementation of standard EKF-SLAM. It permits simple configuration via configfile.m to perform SLAM with various control parameters, noises, etc. Also various switches are available to choose known data-association versus gating, etc. The key file in this simulator is called ekfslam_sim.m . Type help ekfslam_sim for more information of how to use it. In addition to on-line animations, the simulator returns a data-structure of the logged state information for off-line processing. An example use of this data is shown in m-file plot_feature_loci.m , which plots the trajectories of the landmark estimates.

“Applied Econometrics using MATLAB”配套的计量经济Matlab包(MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions 4. ridge, Theil-goldberger, switching regimes, robust regression 5. regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg 6. cointegration testing 7. statistical distributions (CDF, PDF and random deviate generation) 8. Bayesian Gibbs sampling estimation and MCMC convergence diagnostics 9. maximum likelihood and Bayesian spatial econometrics functions 10. lots of other stuff, over 350 functions)