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支持向量机 ，做股票预测，一元线性回归 (Support vector machines, regular activity prediction, linear regression)

说明：  本书基于MATLAB 5.2版，提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。(Based on MATLAB 5.2 version of the book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, multi-working platform powerful, user-friendly, natural and open strong language of large outstanding applications, but also have become domestic institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic application of control theory and engineering courses of basic teaching tool. Logically organized book, from beginning to end with an example description content of each chapter is relatively complete and independent MATLAB is a concise reference book, both for beginners or advanced MATLAB users.)

Support Vector Machines for classfaction and regression (Support Vector Machines for classfaction and regression)

matlab是大家非常熟悉软件，本电子文档中提供了很多关于matlab的经典算法实现，希望能够帮助大家！(matlab is very familiar with U.S. software, the electronic documents to provide a lot about classical algorithm matlab realize, I hope everyone can help!)

说明：  用LS算法实现共512个数据的预测，并得到误差平方的仿真图(LS algorithm with a total of 512 data, forecasts, and get squared error of the simulation diagram)

说明：  运动的星空，实现多星星围绕地球旋转的动画演示，并且可以通过设置修改三轴之比，旋转圈数，达到较美观的效果。(campaign starry, multi-stars around the Earth rotating animation demonstration, and can set up triaxial ratio changes, rotating laps to achieve a more aesthetic results.)

TE过程仿真模块 SIMULINK 对应有参考文献 对于研究田纳西伊斯曼的同志 绝对是福音(TE process SIMULINK simulation module corresponds with references for the study of Tennessee Eastman comrades absolutely Gospel)

matlab源码关于模糊K均值聚类算法，适合大家下载研究学习(matlab source code on the fuzzy K-means clustering algorithm, suitable for everyone to download research study)

framing speech signals

实现Focuss 系统的算法程序，可用于稀疏成分分析。(Algorithm to achieve Focuss system procedures can be used for sparse component analysis.)