svm_matlab_gui

基于迭代学习控制PID控制器参数的调整方案 　　设计和稳定性分析(Iterative Learning Control Based PID Controller Parameter Tuning Scheme Design and Stability Analysis)

matlab频域信号处理算例，包括带通滤波、高通滤波、低通滤波(signals processing in frequency domain ,including Low pass filter ,high pass filter，Band pass filter)

这个模型解释了DFIG WT的工作。 转子侧变流器模型化为受控电压源，忽略电网侧变流器，因为机器基本上由转子侧变流器控制，大部分有功和无功功率由机器提供。 矢量控制技术用于控制DFIG。 这不是一个完整的模型，而只是那些想了解双馈电机控制的人的起点指南。 机器的有功和无功功率由转子侧转换器调节。(this model explains the working of the DFIG WT. The rotor side converter is modelled as controlled voltage source and grid side converter is neglected as machine is basically controlled by the rotor side converter and most of the active and reactive power is supplied by the machine. The vector control technique is used for controlling the DFIG. This is not a full model but only a starting guide for those who want to learn about DFIG control. the active and reactive power of the machine are regulated by the rotor side converter.)

Bursa和精确坐标转换算法，matlab实现，且比对两者不同，进行了深入分析。 原创，请转出处。(Bursa，坐标转换，matlab)

75 份速查表，由 vikas 收集整理，包括：jQuery、HTML、HTML5、CSS、CSS3、JavaScript、Photoshop 、git、Linux、Java、Perl、PHP、Python、Ruby、Ruby on Rails、Scala、C#、SQLite、C++、C语言、Ubuntu、WordPress、Node.js、Oracle、NMAP、Mac OS X、Haskell、Unicode、PostgreSQL、Lisp、Matlab 等。(List of 75 parts by vikas collected, including: jQuery, HTML, HTML5, CSS, CSS3, JavaScript, Photoshop, git, Linux, Java, Perl, PHP, Python, Ruby, Ruby on Rails, Scala, C#, SQLite , C++, C language, Ubuntu, WordPress, Node.js, Oracle, NMAP, Mac OS X, Haskell, Unicode, PostgreSQL, Lisp, Matlab etc.)

Such an intense field is enough to pull the electrons out of the valence band of the stable atoms. Such a creation of free electrons is called zener effect. These minority carriers constitute very large current and the mechanism

计算hurst指数，包含很多个Hurst指数方法。使用简单(Calculated hurst index contains many a Hurst index method. Simple)

四元通信信号的相关接收机的误码性能仿真。(bite error simulation corretation receiver )

MATLAB CODE FOR INFORMATION THEORY AND CODING

时间序列分析的MATLAB程序，使用AIC准则确定最优ARMA(P,Q)模型，输出预测数据。(MATLAB program time series analysis, the use of AIC criterion to determine the optimal ARMA (P, Q) model output forecast data.)