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这是一本全面介绍MATLAB建模与仿真的书籍，很难找的，在学校图书馆找到的，赶紧下(This is a comprehensive introduction to modeling and simulation of MATLAB books, hard to find in the school library to find and quickly under)

该文件是用相位差校正技术来检测简谐波，其运行环境是在matlab中( FFT)

matlab的安装和下载，有具体的安装目录，可以在window系统上下载安装(matlab installation and download, there is a specific installation directory, you can download and install on the window system)

说明：  冈萨雷斯全书MATLAB例程，全部代码源(Gonzalez book MATLAB routines, all the source code)

全通滤波器的matlab设计，实现相位偏移(All-pass filter matlab design phase offset)

ACADO Toolkit is a software environment and algorithm collection written in C++ for au-tomatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control as well as state and parameter estimation. It also provides (stand-alone) eciently implemented Runge-Kutta and BDF integrators for the simulation of ODE s and DAE s.

随机网络生成代码，matlab编写。可以实现基本的随机网络的生成(random network)

用matlab实现短时能量和过零率的端点检测，并显示波形(using Matlab to achieve short-term energy and zero rate of endpoint detection and waveform display)

FAST K-NEAREST NEIGHBORS SEARCH (FAST K-NEAREST NEIGHBORS SEARCH Description You can find the description at: http://www.advancedmcode.org/gltree.html A Pro Version has been published on: http://www.advancedmcode.org/gltree-pro-version-a-fast-nearest-neighbour-library-for-matlab-and-c.html Acknowledgements The author wishes to acknowledge the following in the creation of this submission: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH This submission has inspired the following: K-NEAREST NEIGHBOURS AND RADIUS (RANGE) SEARCH, FAST K-NEAREST NEIGHBOURS SEARCH 3D VERSION MATLAB release MATLAB 7.5 (R2007b) Other requirements Need a mex compiler Zip File Content Other Files BuildGLTree2DFEX.cpp, BuildGLTree2DFEX.m, DeleteGLTree2DFEX.cpp, DeleteGLTree2DFEX.m, GLTree2DFEX.cpp, GLTree2DFEX.h, license.txt, NNSearch2DFEX.cpp, NNSearch2DFEX.m, TestMexFiles.m )

用粒子群算法进行无功优化，比较实用，希望对大家有帮助(Particle swarm algorithm with reactive power optimization, more practical, we want to help, 14 nodes)