二次型随机系统的可辨识性

P. Bondon
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引用次数: 5

摘要

二次系统是最简单的非线性定常系统,对应于Volterra展开的第二项。这种系统出现在信号处理的各个领域,特别是在检测和估计方面。研究了一类由独立的同分布随机变量序列驱动的离散有限次随机系统的可辨识性。当输入可用时,使用输入和输出之间的交叉累积量来识别系统。当输入不可观察时,只考虑三阶的输出累积量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the identifiability of a quadratic stochastic system
Quadratic systems are the simplest nonlinear time-invariant systems and correspond to the second term of the Volterra expansion. Such systems appear in various fields of signal processing, in particular in detection and estimation. The author studies the identifiability of a discrete and finite extent quadratic stochastic system, driven by a sequence of independent, identically distributed random variables. When the input is available, the system is identified using cross-cumulants between the input and the output. When the input is unobservable, only the output cumulants up to the third-order are considered.<>
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