li9_1

该程序用盖氏圆盘方法（GDE）计算均匀直线阵（ULA）中信号源个数估计性能随SNR的变化情况,采用Monte-Carlo模拟。 (estimate the number of source using GDE criterion)

此程序是用G-P算法计算关联维数Dc。 注意：一定要下载混沌工具箱后使用。(This procedure GP algorithm is the correlation dimension Dc. Note: Be sure to use the chaos toolbox download。)

决策树算法的CART算法，用MATLAB编写，能有，不错的。(CART decision tree algorithm algorithm, using MATLAB to prepare, to have, good.)

说明：  对rosenstein求解最大李雅普诺夫指数算法,实现成功(Rosenstein solving of the largest Lyapunov exponent algorithm, to achieve successful)

说明：  本文介绍了控制系统中的经典问题— — —倒立摆及其基本原理, 简要介绍了 Ma tlab中倒立摆控制的实现方法。由于倒立摆的研究具 有重要的工程背景,本文结合了二级倒立摆的 ma tlab仿真,实现二自 由度机器人 PD控制的 ma tlab仿真 ,取得了较好的效果。(This article describes the classic problem of the control system--- inverted pendulum and its basic principles, a brief introduction Ma tlab the inverted pendulum control method. The inverted pendulum has important engineering background, this paper combines the ma tlab double inverted pendulum simulation, to achieve two degrees of freedom robot ma tlab PD control simulation, and achieved good results.)

Adopt the scatteringcosinealternationtocarryoutalternationontheimage(Adopt the scatteringcosinealternationt ocarryoutalternationontheimage)

SM系统matlab程序，传输天线、接收天线数量可调，信号调制方式可调，循环次数可调。最后生成BER性能曲线，并将不同SNR下的BER数据存储到mat文件中。(SM system matlab program, the number of transmission antennas, a receiving antenna is adjustable, adjustable signal modulation scheme, the number of cycles is adjustable. Last generate BER performance curve, and store data in different SNR BER under the mat file.)

chebshev窗函数，包括等旁瓣级，任意主瓣宽度两个程序(chebshev window function,including side-lobe level and main-lobe width)

Converts GF entries into integers

某统计局欲了解第三产业总产出、中间消耗、增加值、劳动者报酬、生产税净额、固定资产折旧、营业盈余之间的关系，根据下面给出的数据建立相应的模型并进行分析，同时又因为变量数目过多影响对其的综合分析，要求对他们进行主成分分析；(Bureau of Statistics For a third of total industrial output, intermediate consumption, value added, workers compensation, production, net of tax, depreciation of fixed assets, the relationship between the operating surplus, in accordance with the following data given by the model and the corresponding analysis, at the same time, because too many variables affect the number of comprehensive analysis of its request for them to carry out principal component analysis )