LS-SVM

说明：  本程序为利用matlab求解微分方程的源程序及相关例子(the procedures for the use of Matlab to solve the differential equation of the source and relevant examples)

XYZ转NEU坐标，非常实用，可以学习下，matlab(XYZ too NEU)

这是偶近几年来研究的多种PID控制程序，有灰色PID，神经网络自适应PID，模糊PID等等，程序多多，肯定会对大家有帮助的！()

自适应特征值的时延估计算法，matlab(Adaptive time delay estimation algorithm eigenvalue, matlab)

说明：  基于当前值、预测值及不同控制率的DMC仿真源程序和仿真图形(Based on the current value, predictive value, and different control rates of DMC simulation source code and simulation graphics)

beamforming, capon, 和music 三种波达方向定位算法的matlab仿真源代码。(出三维图)(Code source sous matlab de SOURCE LOCALIZATION ALGORITHM(beamforming, capon, and music) (3D))

Check is it eyelid or not

《高等光学仿真》matlab源程序，对光学中的主要衍射机理进行仿真。(Higher optical simulation matlab source code, mainly in the optical diffraction mechanism simulation.)

matlab中，读取视频后，播放视频。导入toolbox文件夹，并set path。(show video)

这是一个关于稀疏高斯过程的matlab源码，可以用于计算测试输入的高斯预测值。( spgp_pred computes the SPGP predictive distribution for a set of test inputs. You need to supply a set of pseudo-inputs or basis vectors for the approximation, and suitable hyperparameters for the covariance. You can use any method you like for finding the pseudo-inputs , with the simplest obviously being a random subset of the data. It is coded for Gaussian covariance function, but you could very easily alter this. It is also fine to use for high dimensional data sets. spgp_lik is the SPGP (negative) marginal likelihood and gradients with respect to pseudo-inputs and hyperparameters. So you can use this if you wish to try to optimize the positioning of pseudo-inputs and find good hyperparameters, before using spgp_pred . I would recommend initializing the pseudo-inputs on a random subset of the data, and initializing the hyperparameters sensibly. Its current limitations are that 1) it is slow and memory intensive for high dimensional data sets 2) it is heavi)