Matlab-MODELS

OFDM系统中降低PAPR算法后使用的误码检测平台(PAPR reduction algorithm for OFDM systems using error detection platform after)

基于matlab的电力系系统潮流计算典例完整源代码。 (Matlab power system based on power flow callculation example of a complete source code. )

说明：  经典泊松方程的matlab数值求解程序代码。(Possion equation numberical sover code using matlab.)

生成rcs数据，通过此段代码进行isar成像(isar imaging)

说明：  首先，对复杂振动信号进行EMD分解，得到各个频率分量，接着，对各分量进行Hilbert变换，得到瞬时频率(END resolve,hilbert chang,evry imf,instantaneous frequency)

利用FOCUSS算法对数据进行重构表示，得到需要表示的成分，减少噪声干扰。(FOCUSS algorithms use the data to reconstruct said component required to obtain representation, reducing noise.)

读取瑞典的雷达数据以及文件头的matlab程序，对于刚刚编写雷达数据处理的入门者来说，是个不错的参考(Read Sweden s radar data and document head matlab procedures, the preparation of radar data for the just treatment of the beginners, it is a good reference)

基于MATLAB_Simulink的系统仿真技术与应用 本书首先介绍MATLAB语言的程序设计的基本内容，在此基础上系约介绍了系统仿真所必要的数值计算方法及MATLAB实现，并以Simu1ink为主要工具介绍了系统仿真方法与技巧，包括连续系统、离散系统、随机输入系统和复数系统的仿真，由浅入深介绍了模块封装技术、电力系统模块集、非线性系统设计模块集、S-函数编写与应用、Stateflow有限状态机、虚拟现实工具箱等中高级使用方法，最后还介绍了半实物仿真技术均实时控制技术。本书可作为一般读者学习和掌握MAlLAB／Simulink语言的教科书，也可作为高校理工科各类专业的本科生和研究生系统仿真类课程的教材和参考书，还可供科技工作者、教师作为学习和应用系统仿真分析技术解决实际问题的参考资料。(This book introduces MATLAB programming language, the basic content, in this based on the simulation system presented about the necessary numerical methods and MATLAB implementation, and Simu1ink introduced the system as the main tool for simulation methods and techniques, including the continuous system , discrete systems, stochastic input system and complex system simulation, Deep introduced module packaging technology, power system block set, set of nonlinear system design module, S-function and application of writing, Stateflow finite state machines, virtual reality tools use of boxes and other senior, finally introduced the loop simulation technology are real-time control technology. )

说明：  本文利用模糊理论中的高斯隶属 度函数来获得模糊观测下具有概率特性的似然函数，并且由此似然函数得到每个传感器提供信息的可信度；再将各传感器的可 信度转化成基本概率赋值函数即mass 函数；最后利用证据理论对多传感器信息进行融合。对目标识别的仿真试验表明该方法获 得的结果比直接结果具有更高的精度和可靠性。(The method uses fuzzy theory in the Gaussian fuzzy membership function to obtain a probable characteristic under observation likelihood function，and the resulting likelihood function gets the credibility of the information provided by the sensors.Then the reliability of each sensor is changed to a mass function.Finally，multi-sensor information is combined by using evidence theory.Simulation of target recognition shows that the results obtained have higher accuracy and reliability.)

本例为数学建模课题——建筑日照问题，给出了详细分析和matlab程序。(Mathematical modeling issues- the construction of sunshine in this case, gives a detailed analysis and matlab program)