HOS-based harmonic retrieval: A deterministic formulation

J. M.M. Anderson, G. B. Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Given a single record, the authors consider the problem of estimating the harmonics of a signal buried in noise. The observed data is modeled as a superposition of sinusoids plus stationary, zero-mean additive Gaussian noise of unknown covariance. Novel higher-order statistics, referred to as 'mixed' cumulants, are appropriate for certain types of mixed processes. After a consistent HOS-based linear estimate, an improved estimate is computed via mixed-cumulant matching. Issues regarding quadratic coupling are addressed. The performance of the proposed method is examined via simulations.

Original languageEnglish (US)
Title of host publication1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-131
Number of pages4
ISBN (Electronic)0780305086, 9780780305083
DOIs
StatePublished - Jan 1 1992
Externally publishedYes
Event6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada
Duration: Oct 7 1992Oct 9 1992

Publication series

Name1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

Conference

Conference6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
CountryCanada
CityVictoria
Period10/7/9210/9/92

Fingerprint Dive into the research topics of 'HOS-based harmonic retrieval: A deterministic formulation'. Together they form a unique fingerprint.

Cite this