Time_Frequency_Merging_for_ARMA_Model

一本在Matlab开发环境下，讲解面向对象的编程书籍。适合从事Matlab编程的朋友们。(a book that is suitable for the friends who want to research object oriented programming using Matlab.)

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Evop algorith for optimization

通信信号调制方式识别 AK.Nandi 提出的时域的7个特征 的MATLAB 程序(signal Modulation Recongnition features)

说明如何设计椭圆滤波器及计算和显示功率互补IIR滤波器的频率响应(Explains how to design elliptic filter and the calculation and display of power complementary IIR filter frequency response)

粒子群算法求解旅行商问题 运行yunxing.m中的内容 文件列表 Arrange.m GenerateChangeNums.m HoldByOdds.m PathDistance.m PathExchange.m PathPlot.m yunxing.m readme.txt(Particle swarm algorithm to solve the traveling salesman problem)

利用能量均衡法对实测的合成孔径雷达回波数据估计出其多普勒中心(use of the energy balance method measured the Synthetic Aperture Radar data to estimate its center Doppler)

两个16个阵元的平面阵波束形成。很好用的(16 element array of two plane array beamforming. Very good use)

说明：  这本书描述了MATLAB遗传算法的特性和直接搜索工具箱,编程原理和使用方法。这本书分为九章。第一章到第四章介绍了遗传算法的基本知识,包括遗传算法的基本原理、编码、选择、交叉、变异、适应度函数、控制参数、约束处理,模式定理,改进遗传算法早熟收敛问题及其预防等等。第五章到第七章介绍MATLAB遗传算法工具箱英格兰谢菲尔德谢菲尔德大学,和使用方法,如何编写这个函数的一个示例使用遗传算法工具箱解决实际优化问题的MATLAB程序。(The book describes the characteristics of MATLAB genetic algorithm and direct search toolbox, programming principle and method of use. The book is divided into nine chapters. The first chapter to the fourth chapter introduces the basic knowledge of the genetic algorithm, including the basic principle of genetic algorithm, coding, selection, crossover, mutation, fitness function, control parameters, constraints, processing, schema theorem, improved genetic algorithm premature convergence problem and its prevention and so on. Fifth chapter to the seventh chapter introduces MATLAB genetic algorithm toolbox Sheffield in England at the university of Sheffield, and use a method, an example of how to write this function using MATLAB genetic algorithm toolbox to solve practical optimization problem.)

这是一本英文版的书籍，主要讲述模型预测控制，对初学者的学习很有帮助。(This is a book of English version about model predictive control, that is very helpful for beginners learning.)