DFIGpwm

ofdm 的仿真程序， ~！(OFDM simulation program, ~!)

潮汐调和分析及分析与无潮点中国近海的无潮点(Tidal harmonic analysis and analysis of point and no tidal wave point-free offshore China)

利用matlabGUI开发的任意CCD调用软件，含有操作界面(Any use matlabGUI developed CCD calling software contains user interface)

matlab参数录入系统，实现参数录入，错误提示。(matlab parameter entry system)

controlled Half wave rectifier circuit with inductive load and gives positive half cycle and block negative half cycle.

loadflow for transmission system

这是一些关于MATLAB的小程序，有曲线拟合的，利用线性网络进行线性预测，正交实验设计及其实验结果的极差分析等，希望对大家能带来帮助！(This is a small number of MATLAB procedures, there is curve fitting, and linear networks using linear prediction, orthogonal experimental design and experimental results of range analysis, etc. hope that we can help!)

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

二 维 时 域 有 限 差 分 法MATLAB 代 码(Two-dimensional finite difference time domain method MATLAB cod)

雷达系统中用于计算起伏目标的检测概率，适用于Swerling I型目标。(Used to calculate the undulation target detection probability, applies Swerling I target.)