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LE计算方法。这里给出了经典的分析方法。(LE calculation. Here are the classic analytical methods.)

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求两个序列的互相关函数，或一个序列的自相关函数；并显示了不同功率噪声下的效果。(Sequences for the two cross-correlation function, or a sequence of auto-correlation function and display a different power under the effect of noise.)

说明：   2.wps ：为作业最终的仿真结果与分析 正态分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为N（0,1）、N（0,4.26）、N（-2.5,1）的情况 瑞利分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3分别为Ray（1）、Ray（0.36）、Ray（3.4）的情况 泊松分布：.cpp为由C++编写的主程序以获取仿真数据，.txt为存储仿真数据的文档，.m为由matlab根据获取的仿真数据画图的结果，其中1、2、3、4分别为Lamda（0.2）、Lamda（1）、Lamda（6）、Lamda（10）的情况 0.m为将三或四种情况画到一副图中并进行仿真结果对比的图像 ((2.wps:) for the job the final simulation results and analysis of the normal distribution:. Cpp written by C++ main program to obtain the simulation data. Txt document for storing simulation data, m grounds matlab drawing according to the simulation data obtained the results, wherein 1, 2, 3 respectively, for the N (0,1), N (0,4.26), N (-2.5,1), of Rayleigh distribution: CPP grounds C++ prepared by the main program to obtain its simulation data, txt for storage simulation data documents, the. m grounds MatLab drawing the results according to the simulation data obtained, wherein 1,2,3 respectively ray (1), ray (0.36), the case of the ray (3.4) poise the loose distribution: cpp grounds written main program C++ to get the simulation data txt simulation data is stored documents, m grounds matlab based on the results of the simulation data obtained drawing, in which 1, 2, 3, 4, respectively 0.m case of Lamda (0.2), Lamda (1), Lamda (6), Lamda (10) of the three or four painting to a graph, )

matlab编制的随机骨料多边形模型,适合随机骨料的建模和有限元分析(poly rabdom arrevege)

一个雷达回波模拟的matlab程序包,含有在RCS服从卡方分布,瑞利分布,对数正态分布下目标的的雷达散射截面模拟子程序，(Matlab simulation of a radar package, containing the RCS subject to chi-square distribution, Rayleigh distribution, lognormal distribution of the target' s radar cross section simulation subroutine,)

Matlab examples. How to use functions, how to use loop sentences, etc. This examples are excellent to lear how to use matlab.

This example descibles background subtraction algorithm. video was recorded at sanfrancisco

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电能质量扰动信号信号通过hilbert变换得到瞬时频率，瞬时幅值，hilbert谱，边际谱等重要特征，从而实现特征提取。(Power quality disturbance signals are obtained by hilbert transform to obtain instantaneous frequency, instantaneous amplitude, hilbert spectrum, marginal spectrum and other important features, in order to achieve feature extraction.)