MATLABSimulink

Jakes channel simulation

Modeling Variable Annuities with MATLAB

intrusion detection code in matlab with kddcup99 dataset

该程序用来模拟信道，其中信道的功能包括加性高斯白噪声和多径信道(The program used to simulate the channel, which channels include additive white Gaussian noise and multipath channel)

本手册是根据国内最著名的天线专家、教授的最新研究与工程设计成果并汇集了国际上的最新资料精心编撰而成的宏篇巨著，是目前国内第一本全面论述天线工程最系统、最完整的工具书。全书共分四篇29章。第一篇为天线基础，介绍了天线的基本参数、基本原理、基本理论和基本分析方法，为读者阅读后续各章 打下坚实基础；第二篇为天线设计，是全书的核心，介绍各类天线的工作原理和设计方法，可供使用的设计公式、图表和具体数据；第三篇概述天线在通信、雷达、导航、遥测、测向等军民方面的应用，还介绍了特殊用途的天线，如载体天线、圆极化天线、毫米波天线等；第四篇介绍了与天线相关的论题，如天线的测量、天线散射载面、天线罩等。(This manual is based on the latest research and engineering achievements of the most famous antenna experts, professors and brings together the latest information on carefully compiled international macro magnum opus, is the first comprehensive discussion of the antenna construction most systematic complete tool. 29 book is divided into four chapters. The first is the antenna base, introduces the basic parameters of the antenna, the basic principles, basic theory and analysis methods for the following chapters the reader Lay a solid foundation The second is an antenna design is the core of the book, describes various types of antennas working principle and design methods, design formulas available, charts and specific data an overview of the third antenna in communication, radar, navigation , telemetry, military and civilian aspects of the application DF et al., also describes the antennas for special purposes, such as carrier antenna, a circularly polarized antenna, the millimet)

遗传算法用于路径规划，利用遗传算法进行机器人路径规划(Genetic Algorithm for Path Planning )

本程序是基于matlab编程，用于求解平均值，具有快捷高效的特点。(This procedure is based on the MATLAB programming, for solving the average value, has the characteristics of fast and efficient.)

云模型Matlab代码，包括正向云发生器，x条件云发生器和y条件云发生器。(Cloud model Matlab code, including the forward cloud generator, x and y condition cloud generator condition cloud generator.)

this is book on matlab order

帝王蝶优化算法,一种新的元启发式优化算法！(In nature, the eastern North American monarch population is known for its southward migration during the late summer/autumn the northern United States and southern Canada to Mexico, covering thousands of miles. By simplifying and idealizing the migration of monarch butterflies, a new kind of nature-inspired metaheuristic algorithm, called Monarch Butterfly Optimization (MBO), a first of its kind, is proposed in this paper. In MBO, all the monarch butterfly individuals are located in two distinct lands viz. Southern Canada & northern United States (Land 1) and Mexico (Land 2). Accordingly, the positions of the monarch butterflies are updated in two ways. Firstly, the offsprings are generated (position updating) by migration operator, which can be adjusted by the migration ratio. It is followed by tuning the positions for other butterflies by means of butterfly adjusting operator. In order to keep the population unchanged and minimize fitness uations, the sum of the newly-generated but)