shuangkuifenglifadian

说明：  声波方程正演模拟小模型波场绘制。只有一层，震源在中间。C程序，Matlab绘图。(Acoustic wave equation forward modeling small-scale model wave field rendering. Only one layer, source in the middle. C program, Matlab graphics.)

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))

this is a code for neural network that estimate diffrential equations with heb learning

matlab入门到精通，对初学者和高手都非常有用。(Entry to the proficient in matlab, is very useful for beginners and master.)

整合 时间 序列,将得到的时间序列整合到一起(zheng he shi jian xu lie)

说明：  EM数值算法 MATLAB程序 用于高斯混合模型(numerical algorithms)

求两个信号的衰减度及其对应的衰减相位之差。(Seeking two signal attenuation and the corresponding attenuation of the phase difference.)

简单条件下规则二度体重力异常的正演计算-圆柱体(Simple conditions under the rules of the second abnormal weight force of the forward calculation- cylinder)

常用分形算法的mablab实现，包括递归算法、L系统算法、IFS迭代和逃逸时间算法(Fractal algorithm mablab commonly realized, including recursive algorithm, L system algorithm, IFS iteration and escape time algorithm)

is a small example of how to use a slider and observe and enter the current value in the slider