Using_Matlab_Simulink1

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本文为基于matlab的粒子群算法的程序，以求函数最小值为例，讲述如何用粒子群算法求得局部和全局最优解。(This article is based on particle swarm algorithm matlab procedures, in order to the minimum function, for example, on how to use PSO obtain local and global optimal solution.)

利用matlab中的库函数实现2FSK的调制，解调和误码率分析等(Use matlab library function to achieve 2FSK modulation, demodulation and error rate analysis)

matlab入门书籍，介绍了matlab的主要函数命令。包括入门知识、数值计算功能、图形可视化处理功能、notebook、程序设计等等(matlab entry books, describes the main function of matlab commands. Include the entry of knowledge, numerical computing, graphics, visual processing, notebook, programming, etc.)

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amplitude modulation code

说明：  BP神经网络的预测实例分析并附有详细的解释(Examples of BP neural network forecasting analysis together with a detailed explanation)

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

通过对OFDM信号的CCDF曲线进行分析，得出了联合哈特莱变换和限幅算法降低OFDM信号峰均比的方法确实降低了OFDM信号的PAPR值(through the analysis of CCDF curve of OFDM signal, it is true to reduce the PAPR value of OFDM signal by use the method of the United Hart transform and clipping algorithm for PAPR reduction)

本书着重介绍了MATLAB在通信仿真，尤其是移动通信仿真中的应用，通过丰富具体的实例来加深读者对通信系统仿真的理解和掌握。 全书共分10章，前3章介绍MATLAB通信仿真的基础，包括Simulink和S-函数；第4~8章分别介绍了信源和信宿、信道传输、信源编码、信道编码、信号交织以及信号调制的仿真模块及其仿真实现过程；第9章介绍了在通信系统的仿真和调试过程中经常遇到的问题及其解决办法；最后，第10章以cdma 2000为例介绍了移动通信系统的设计和仿真。 本书适用于通信行业的大专院校学生和研究人员，既可以作为初学者的入门教材，也可以用作中高级读者和研究人员的速查手册。(MATLAB communication simulation and application examples)