Distribution-System-3ph-fault-model

计算时间序列的Hurst系数有许多方法，但是其中最准确的就是利用小波法来计算，本程序用Matlab实现了用小波来计算Hurst系数。(Calculation of the Hurst coefficient of time series has a number of ways, but one of the most accurate method is to use wavelet basis, the procedures used to achieve the use of Matlab to calculate the Hurst coefficient of wavelet.)

2psk调制与解调，非常的有用，赶快下载。(2psk modulation and demodulation)

地震数据处理软件包，包括f-x预测滤波等，非常实用，搞地震方面的可以参考 (Seismic data processing software, very useful, engaging earthquakes can refer to )

灰色模型预测用电量，天气等。通过已知的数据，就可以推测出未来的数据。(Grey model forecast power consumption, weather, etc.. By known data, you can speculate on the future data.)

这是一个虹膜识别检测的程序，只是虹膜识别的功能函数定义(This is a test of iris recognition procedure, only the definition of iris recognition performance function)

Determinant of the permutation matrix with rows ordered by p.

different classifier for matlab

类似于MatLab的东东,当然肯定没那么好,但基本的数学运算还是有的(MatLab is similar to the East, of course, is not so sure, but the basic arithmetic or some)

本书是C++模板编程的完全指南，旨在通过基本概念、常用技巧和应用实例3方面的有用资料，为读者打下C++模板知识的坚实基础。 全书共5个部分，22章。第1章全面介绍了本书的内容结构和相关情况。第1部分（第2~7章）以教程的风格介绍了模板的基本概念，第2部分（第8~13章）阐述了模板的语言细节，第3部分（第14~18章）介绍了C++模板所支持的基本设计技术，第4部分（第19~22章）深入探讨了各种使用模板的普通应用程序。附录部分是一处定义原则和重载解析的相关资料。 本书适合C++模板技术的初学者阅读，也可供有一定编程经验的C++程序员参考。(This book is C++ template programming, The Complete Guide to through the basic concepts, techniques and application examples of three commonly used useful information for readers to C++ templates to lay a solid foundation of knowledge. The book is 5 parts, 22 chapters. Chapter 1 introduces the overall structure and content of the book relevant circumstances. Part 1 (2 ~ 7) tutorial style introduction to the basic concepts of templates, Part 2 (8 ~ 13) describes the details of the template language, Part 3 (14 ~ 18), introduced C++ template support for the basic design techniques, Part 4 (19 ~ 22) in-depth study of various common applications using templates. Appendix is a definition of the principles and relevant information overload resolution. C++ book for beginners to read template technology, but also have some programming experience for C++ programmers reference. )

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence" (see below), which is based on the theory of positive bases. Optimization attempts to find the best match (the solution that has the lowest error value) in a multidimensional analysis space of possibilities.