NDLI: Study on autoregressive trispectrum and its slices

Content Provider	IEEE Xplore Digital Library
Author	Bingsan Chen Yijian Huang
Copyright Year	2008
Description	Author affiliation: Dept. of Electro-Mech. Eng., Univ. of Huaqiao Quan Zhou, Fujian (Bingsan Chen; Yijian Huang)
Abstract	This paper is concerned with the development of techniques to detect and analyse no-Gaussian and non-linear signals. The methods developed are based on the concepts of higher-order cumulants, in particular the fourth-order cumulants for trispectrum. The study has been dominated by work on the trispectrum and its slices. Modeling and analyzing have been done when a zero mean and non-Gaussian white noise interferes with a vibrant system. For certain condition, short data and weak signals, a new method of parameter modelling of the autoregressive (AR) bispectra and trispectra models based on time series are presented. Approaches are described that enable the estimation and display of power spectrum, bispectra and trispectra, especially the slices of high-order spectra (HOS). After theory analysis, experiments have been done to show the characteristic of HOS in processing the sampled data. A series of contrast have been carried on to assess the estimation of HOS. The experimental and theoretical results show that the auturegressive trispectrum and its slices are more accurate to analyze the non-linear and non-Gaussian signals.
Starting Page	5124
Ending Page	5129
File Size	536425
Page Count	6
File Format	PDF
ISBN	9781424417339
DOI	10.1109/CCDC.2008.4598306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vibrations Slices Estimation Aerospace electronics Auturegressive Trispectrum Valves Mechanical systems Bispectrum Delay Testing
Content Type	Text
Resource Type	Article

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