Experimental comparison of two information-theoretic spectral estimators

R. C. Papademetriou*

*Corresponding author for this work

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

Abstract

The use of the minimum cross-entropy (MCE) principle in spectrum estimation, resulting in an information-theoretic method that explicitly includes prior spectral information, has followed two philosophically different pathways leading to two distinct estimators, CE and SCE respectively. These estimators are compared experimentally in this paper, regarding resolvability and fidelity. The data model assumed consists of two equal-amplitude sinusoidal signals, immersed in 1/f noise. The CE estimator appears to have evident superiority in this study.

Original languageEnglish
Title of host publicationICSP '98. 1998 Fourth International Conference on Signal Processing
PublisherIEEE
Pages141-144
Number of pages4
Volume1
ISBN (Print)0780343255
DOIs
Publication statusPublished - Oct 1998
Event4th International Conference on Signal Processing - Media Hotel, Beijing, China
Duration: 12 Oct 199816 Oct 1998

Conference

Conference4th International Conference on Signal Processing
Abbreviated titleICSP '98
Country/TerritoryChina
CityBeijing
Period12/10/9816/10/98

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