QPSK

为用户提供了一个开放的、可扩展的环境，用于在药品研究、遗传工程和其他与基因组、蛋白质等相关的项目中进行原型算法的开发以及应用。(Bioinformatics Toolbox™ offers computational molecular biologists and other research scientists an open and extensible environment in which to explore ideas, prototype new algorithms, and build applications in drug research, genetic engineering, and other genomics and proteomics projects. This bioinformatics software provides access to genomic and proteomic data formats, analysis techniques, and specialized visualizations for genomic and proteomic sequence and microarray analysis. Most Bioinformatics Toolbox functions are implemented in the open MATLAB® language, enabling you to customize the algorithms or develop your own.)

数据归一化的仿真，利用matlab实现，很好的例子啊 课件描述加数据(The normalized simulation using matlab to achieve good example courseware description plus data)

《matlab有限元分析与应用》书后源代码，在matble中运行，对于有限元的初学者很有用。("Matlab Finite Element Analysis and Application" after the source code, in matble run, FEM for beginners useful.)

verification data is numbers only

说明：  核主成分分析方法是将主成分分析方法与核方法的有机融合，核心思想是通过引入核方法将输入空间的数据映射到特征空间，并在特征空间进行主成分分析，实现降维与提取非线性数据特征的双重目标。(The kernel principal component analysis (KPCA) is an organic fusion of principal component analysis (PCA) and kernel method. The core idea is to map the data from input space to feature space by introducing the kernel method, and carry out principal component analysis in feature space, so as to achieve the dual goals of dimensionality reduction and feature extraction of nonlinear data.)

多载波调制解调 串并变换 快速傅里叶变换(String of multi-carrier modulation and demodulation and fast Fourier transform transform)

MATLAb code for lyot filter

吊车双摆的控制，普通的PID控制难以实现(Double pendulum crane control, ordinary PID control difficult to achieve)

介绍一个稳健性分析工具箱。主要做稳健性主成分、主成分回归、分类。(Our toolbox currently contains implementations of robust methods for location and scale estimation, covariance estimation (FAST-MCD), regression (FAST-LTS, MCD-regression), principal component analysis (RAPCA, ROBPCA), principal component regression (RPCR), partial least squares (RSIMPLS) and classification (RDA). Only a few of these methods will be highlighted in this paper. The toolbox also provides many graphical tools to detect and classify the outliers. The use of these features will be explained and demonstrated through the analysis of some real data sets.)

Time evolution for a unit vector (Jeffery equation)