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Journal ArticleDOI

The identification of polynomial systems by means of higher order spectra

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TLDR
In this paper, a polynomial system is defined as a system that carries a signal of the form X 1 ( t ) + αX 2 ( t ), − ∞ t.
About
This article is published in Journal of Sound and Vibration.The article was published on 1970-07-01. It has received 145 citations till now. The article focuses on the topics: Matrix polynomial & Stable polynomial.

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Citations
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Journal ArticleDOI

Bispectrum estimation: A digital signal processing framework

TL;DR: In this article, the authors place bispectrum estimation in a digital signal processing framework in order to aid engineers in grasping the utility of the available bispectral estimation techniques, and discuss application problems that can directly benefit from the use of the Bispectrum, and to motivate research in this area.
Journal ArticleDOI

Recurrent neural networks and robust time series prediction

TL;DR: A robust learning algorithm is proposed and applied to recurrent neural networks, NARMA(p,q), which show advantages over feedforward neural networks for time series with a moving average component and are shown to give better predictions than neural networks trained on unfiltered time series.
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Multichannel blind identification: from subspace to maximum likelihood methods

TL;DR: A review of blind channel estimation algorithms is presented, from the (second-order) moment-based methods to the maximum likelihood approaches, under both statistical and deterministic signal models.
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Adaptive polynomial filters

TL;DR: The polynomial systems considered are those nonlinear systems whose output signals can be related to the input signals through a truncated Volterra series expansion or a recursive nonlinear difference equation.
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Identification of nonminimum phase systems using higher order statistics

TL;DR: The authors model a finite-dimensional system as an ARMA (autoregressive moving-average) rational function of known orders, but the special cases of AR, MA, and all-pass models are also considered.
References
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Book

Spectral analysis and its applications

TL;DR: In this paper, Spectral Analysis and its Applications, the authors present a set of applications of spectral analysis and its application in the field of spectroscopy, including the following:
Book

Nonlinear Problems in Random Theory

TL;DR: A series of lectures on the role of nonlinear processes in physics, mathematics, electrical engineering, physiology, and communication theory was given in this article, where the last few of these were devoted to the application of my ideas to problems in the statistical mechanics of gases.
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The Orthogonal Development of Non-Linear Functionals in Series of Fourier-Hermite Functionals

TL;DR: In this paper, Kaczmarz and Steinhaus [I, pp. 143-144] showed that the equality W 1~~~~~~~~~~~~ |G a, ot(t) dx(t), *,Iap(t)-dx(t)] dwx (2.5) c 00 -p/2 L G(ui, *, up)euhu du,... du.