MATlAB

方波函数的傅里叶展开-自己编的小程序，希望能有所帮助(Square wave function )

海伦法分析3元阵列天线的方向图，增益，电流分布，三维方向图(Helen Analysis of 3 per array antenna pattern, gain, current distribution, three-dimensional pattern)

说明：  MATLAB s symbolic features to derive Simpson s 1/3 integration rule

时间序列数据分析中的梅林变换工具，包含位置式PID算法、积分分离式PID，是路径规划的实用方法，包括回归分析和概率统计，研究生时的现代信号处理的作业。(Time series data analysis Mellin transform tool, It contains positional PID algorithm, integral separate PID, Is a practical method of path planning, Including regression analysis and probability and statistics, Modern signal processing jobs when the graduate.)

送给搞EMD或者HHT但没有下载到完整程序的朋友 (EMD or HHT sent out but did not complete the program downloaded to friends)

Least squares solution of Ax=b.

说明：  l1magic，一个很好的求解１范数最小优化问题的工具包。(l1magic，1 norm minimization optimization algorithm)

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.)

基于台湾大学林智仁教授开发的LSSVM工具箱编写的鸢尾属植物分类程序，基于四个特征中的后两个进行的分类，分类效果相当好！(classification for iris data using lssvm)

this file describe class difination in matlab programs