lastcompression

thank you i want to knows more about matlab thanl you advance

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))

文件中的程序是蚁群算法在最短路中的应用，稍加扩展即可应用于机器人路径规划。(File in is the procedure ant colony algorithm in most short-circuit the application of, a little expansion can be applied to robot path planning.)

Commande repère tournant de la MAS

me doin thesis in IP

本文档介绍了关于信道仿真的一些程序代码和一些仿真结果，并对各种信道仿真结果做了比较和分析(This document describes a number of channel simulation program code and some simulation results, and a variety of channel simulation result of the comparison and analysis)

通信专业的经典资料，原理和仿真（matlab）(The classic material of communications professional , including principle and simulation based on matlab.)

简单的单位转换系统，用matlab进行实现，直接在matlab下运行(Simple unit conversion system using matlab to achieve a direct run in matlab)

多目标静态声纳跟踪的实验、算法源代码，内容比较新(Relatively new multi-the target static sonar tracking experiment, the algorithm source code,)

数据优化DPCM方法，对一个余弦信号数据进行标量量化(Data Optimized DPCM method, a cosine signal data scalar quantization)