kill

说明：  混沌工具function s=shuffle(x,c)(function s=shuffle(x,c))

本文介绍kalman滤波的基本原理及发展现状，主要从模型的建立和非线性模型的线性化两方面进行介绍(In this paper, the basic principle of kalman filter and the development present situation, mainly from the establishment of model and the linearization of the nonlinear model is presented in two aspects)

该程序分析画出数据的直方图，并实现Gamma分布的拟合优度检验（卡方检验），(The program analysis to draw a histogram of the data, and Gamma distribution goodness of fit test (chi-square test))

说明：  高斯过程(GP)模型中推理和预测的实现。它实现了在《Rasmussen & Williams:机器学习的高斯过程》(麻省理工学院出版社，2006)和《Nickisch & Rasmussen:二进制高斯过程分类的近似》(JMLR, 2008)中讨论的算法。该函数的优点在于灵活性、简单性和可扩展性。该函数具有一定的灵活性，首先通过定义均值函数和协方差函数来确定遗传算法的性质。其次，它允许指定不同的推理过程，如精确推理和期望传播(EP)。第三，它允许指定似然函数，如高斯函数或拉普拉斯函数(用于回归)和累积逻辑函数(用于分类)。简单性是通过一个简单的函数和紧凑的代码实现的。可扩展性是通过模块化设计来保证的，允许为已经相当广泛的推理方法、均值函数、协方差函数和似然函数库轻松添加扩展。(Gaussian Processes for Machine Learning , the MIT press, 2006 and Nickisch & Rasmussen: Approximations for Binary Gaussian Process Classification , JMLR, 2008. The strength of the function lies in its flexibility, simplicity and extensibility. The function is flexible as firstly it allows specification of the properties of the GP through definition of mean function and covariance functions. Secondly, it allows specification of different inference procedures, such as e.g. exact inference and Expectation Propagation (EP). Thirdly it allows specification of likelihood functions e.g. Gaussian or Laplace (for regression) and e.g. cumulative Logistic (for classification). Simplicity is achieved through a single function and compact code.)

SAP SYSTEM COPY ABAP 701

mathlab基本计算指令，包括矩阵，微分求导等运算(fff)

this code optimize the parameter of PID controller

基于labvieW的光纤光栅采集程序，使用了MOI公司的sm125解调仪。(FBG based labvieW collection procedures, the use of MOI' s sm125 demodulator.)

鱼眼透镜影像之变形校正。详细介绍了鱼眼图像畸变产生原理，校正方法。给出了MATLAB校正源代码。(Image of fisheye lens distortion correction. Details of the fish-eye image distortion resulting theory, calibration methods. MATLAB gives the correct source code.)

Knut - Art of programming