ofdm_system

很好用的软件源代码,计算速度比较快，很好用的软件源代码,计算速度比较快。(It is a very good software)

Plant step response approximation using two- or three- parametrical models for system identification

旋转图形的Matlab的源代码，可以任意修改，且易读性强(Rotating graphics Matlab source code can be modified, and the legibility strong)

this file is optimizing cod by nelder Mead in matlab.

这是个新型的单相三电平逆变器，用一个三电平桥臂和一个普通桥臂组成，SPWM控制。在MATLAB2008上运行(New type of single-phase three-level inverter PWM)

x0 = ones(2,2) Make a starting guess at the solution options = optimset( Display , off ) Turn off Display [x,Fval,exitflag] = fsolve(@myfun,x0,options) The solution is x = -0.1291 0.8602 1.2903 1.1612 Fval = 1.0e-009 * -0.1619 0.0776 0.1161 -0.0469 exitflag = 1 and the residual is close to zero. sum(sum(Fval.*Fval)) ans = 4.7915e-020

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].)

拥有副折射率介质的FDTD结果演示，包括FDTD程序,应用于微波吸收材料，天线等(Finite-Difference Time-Domains Method)

说明：  matlab SVM及ANN预测，这里是源代码，这里是源代码，这里是源代码(SVM and ANN prediction, here is the source code, the source code, here is the source code.)

这里有拟合还有误差分析的基本所有函数，是经济学学习过程中的(There is also the error of fitting all the basic functions of the learning process in economics)