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octive 斯坦福大学公开课 机器学习公开课作业1(octive machine learning publicly Homework1)

一种卡尔曼滤波器算法实现RBF神经网络训练，可实现更高精度的预测。(A Calman filter algorithm to achieve RBF neural network training, can achieve a higher accuracy of prediction.)

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))

Matlab 利用GUI 实现了串口读取功能(Matlab GUI Serial Read and Write)

光纤陀螺输出误差的allan方差分析，本科毕设要求参见标准测试模型，现代信号处理中谱估计在matlab中的使用，matlab编写的元胞自动机，包括广义互相关函数GCC时延估计。(allan FOG output error variance analysis, Undergraduate complete set requirements refer to the standard test models, Modern signal processing used in the spectral estimation in matlab, matlab prepared cellular automata, Including the generalized cross-correlation function GCC time delay estimation.)

说明：  四旋翼无人机内环姿态控制、外环位置控制simulink仿真(Simlink simulation of inner-loop attitude control and outer-loop position control for Four-rotor UAV)

此程序用于计算高光谱数据研究中的红谷吸收深度和绿峰反射高度(This program used to calculate the spectral data of the absorption depth of red and green valley high peak reflectivity)

通过龙格库塔法求解长周期光纤光栅，得到其传输特性(By Runge-Kutta method to solve long-period fiber grating, by its transmission characteristics)

Displays the orbit of a MEO satellite

Include Test extends Activity Instrumentation Test Case Source Code for Andriod.