ARMA

Photovoltaic cell modelling in Matlab/Simulink

等高线作图的全部做法，特别适合matlab的初学者使用，基本上全覆盖了(Contour mapping approach, especially for Matlab for beginners to use, basically covering all)

fault tpleran control of three phase bldc modelling and sinulation

Final Code for Reed Solomon

matlab中的部分遗传算法程序，欢迎大家来分享(matlab genetic algorithm in the part of the program, welcome you to share)

最常用的MATLAB程序，有30个，可供初学者使用(The most commonly used MATLAB program, there are 30 available for beginners)

用割平面法求解整数规划。先不考虑整数约束条件，求松弛问题的最优解，如果获得整数最优解，即为所求，运算停止．如果所得到最优解不满足整数约束条件，则在此非整数解的基础上增加新的约束条件重新求解．(By cutting plane method for solving integer programming. Not considered integer constraints, the optimal solution relaxation problem, if the integer obtained optimal solution is sought, and operation stops. If the optimal solution does not satisfy the integer constraints, then on the basis of this non-integer solutions adding new constraints on the re-solving.)

声纹识别，MFCC特征参数提取，Matlab代码(MFCC )

GloptiPoly 3: moments, optimization and semidefinite programming. Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem of Moments (GPM), an infinite-dimensional optimization problem which can be viewed as an extension of the classical problem of moments [8]. From a theoretical viewpoint, the GPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to cite a few. In addition, and despite a rather simple and short formulation, the GPM has a large number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For an account of various methodologies as well as some of potential applications, the interested reader is referred to [1, 2] and the nice collection of papers [5].(GloptiPoly 3: moments, optimization andsemidefinite programming.Gloptipoly 3 is intended to solve, or at least approximate, the Generalized Problem ofMoments (GPM), an infinite-dimensional optimization problem which can be viewed asan extension of the classical problem of moments [8] . From a theoretical viewpoint, theGPM has developments and impact in various areas of mathematics such as algebra, Fourier analysis, functional analysis, operator theory, probability and statistics, to citea few. In addition, and despite a rather simple and short formulation, the GPM has alarge number of important applications in various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc. For anaccount of various methodologies as well as some of potential applications, the interestedreader is referred to [ 1, 2] and the nice collection of papers [5].)

用matlab 语言实现功率谱估计算法,程序中有详细的说明(using Matlab language power spectrum estimation algorithm, the process is described in detail in)