fast_apes_2d

电力系统谐波测量，用于分析电力系统谐波成分以比例(Power system harmonic measurement)

空间平滑多信号分类角度估计算法MATLAB实现(Multiple signal classification spatial smoothing angle estimation algorithm based on MATLAB realization)

It denotes how to use SVM classifier

给大家上传的一个基于matlab的仿真程序，希望大家看看(For everyone to upload a matlab-based simulation program, let us look at)

该程序为MATLAB源码，使用PNN算法进行分类。(Classify using a probabilistic neural network)

本书提供了使用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。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(The book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, a variety of work platform is a powerful, friendly interface, language, natural and open the strong outstanding applications, but also has become the domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic control theory and engineering application programs, basic teaching tool. Logical arrangement of the book from start to finish with an example description complete and relatively independent of each chapter is a simple MATLAB reference, both for beginners, but also for advanced MATLAB users. Language combined with a description of MATLAB and FORTRAN, C, is a major feature of the few in all of MATLAB books. The book is suitable as a science and engineering colleges and universities graduate, undergraduate teaching book, the book is also available as self-study of the majority of scientific engineering and te)

MATLAB PROGRAM FOR RECOGNICTION

说明：  各种各样的不同代码源打包，都是经过运行的，绝对可以使用。(A variety of different source code packages are run through, and absolutely can be used.)

说明：  矩正实验室的源代码，包括牛顿迭代法 拉格朗日法 和其他的经典算法(Moment is the laboratory s source code, including the Newton iteration Lagrangian and other classical algorithm)

这里有比较多关于该进型的round robin 算法，对研究polling systems 的研究者有较好的帮助！(polling system algorithms)