Algorithm

经典法，布莱克曼-图基法求谱估计，简单实用(Classical method, Blackman- map-based spectrum estimation method, simple and practical)

支持向量机的非线性回归预测，得到回归方程的参数，可进行预测(Nonlinear regression predicting support vector machine regression equation obtained parameters can be predicted)

学习abaqus子程序umat的绝好例子，权威专家编写(Learning excellent examples of abaqus umat subroutine, leading experts to write)

My own Fletcher Rieves Optimization engine

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))

it contains report ,matlab codes for PAPR ofdm reduction techniques like SLM,PTS methods.all are working.

基于SVM的人脸检测。优化了部分代码。可以参考一下，各位亲们。(SVM-based face detection. Optimize the part of the code. Reference, you pro.)

有限元的热代码，希望大家下载学习，分享给大家(fenite elment method thremo code to everyone study)

说明：  结构可靠性分析中的重要度抽样、蒙特卡洛仿真方法(importance sampling technique and Monte Carlo simulation in system structural reliability analysis)

说明：  从基本的一些matlab编程，到一些复杂的图形的绘制，对matlab 的学习者是一个非常好的参考资料。(From some basic matlab programming, to some complex graphics rendering, for matlab learners is a very good reference.)