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中国物理学会期刊

典型随机信号特征参数统计分布的分形特性

CSTR: 32037.14.aps.60.100506

Fractal characteristics of characteristic parameter statistical distributions of typical random signals

CSTR: 32037.14.aps.60.100506
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  • 建立了一种能够描述随机信号结构基本特征的双参数脉冲信号统计模型.基于此模型,脉冲信号群幅度计数分布q(lV),宽度计数分布p(l)及给定宽度信号子集的幅度计数分布l(lV),给定幅度信号子集的宽度计数分布lV(l)均能很稳定的服从以序列自然数为自变量的对数正态分布.且计数分布的统计特征量lnV,ln,lnV,ln与信号的特征参数lV,l之间存在内在联系,这种联系的形式即随机信号分形特性的表现,表明随机信号特征参数的统计分布之间具有非整数维分形特征.

     

    A two-parameter statistical model of the pulsed signals which can be used to describe the basic structural characteristics of the random signals is established in this paper. As a result, the random signal counting distributions of amplitude q(lV) and width p(l), as well as the different signal subset counting distributions under given width l(lV) and amplitude lV(l), all match well with the form of the lognormal distribution with a natural numberused as an independent variable. Besides, it is also found that there are internal relations between the counting distribution statistical characteristic parameters lnV, ln, lnV, ln and the corresponding signal characteristic parameters lV and l. In essence, these relations are the representations of random signal fractal characteristics. In a word, two characteristic parameter statistical distributions of the random signals each have a non-integral dimensional fractal feature.

     

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