Experimental comparison of two information-theoretic spectral estimators

R. C. Papademetriou

doi:10.1109/ICOSP.1998.770170

Experimental comparison of two information-theoretic spectral estimators

R. C. Papademetriou^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	ICSP '98. 1998 Fourth International Conference on Signal Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	141-144
Number of pages	4
Volume	1
ISBN (Print)	0780343255
DOIs	https://doi.org/10.1109/ICOSP.1998.770170
Publication status	Published - Oct 1998
Event	4th International Conference on Signal Processing - Media Hotel, Beijing, China Duration: 12 Oct 1998 → 16 Oct 1998

Conference

Conference	4th International Conference on Signal Processing
Abbreviated title	ICSP '98
Country/Territory	China
City	Beijing
Period	12/10/98 → 16/10/98

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10.1109/ICOSP.1998.770170

Cite this

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title = "Experimental comparison of two information-theoretic spectral estimators",

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.",

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AB - 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.

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M3 - Conference contribution

AN - SCOPUS:0032284052

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SP - 141

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BT - ICSP '98. 1998 Fourth International Conference on Signal Processing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th International Conference on Signal Processing

Y2 - 12 October 1998 through 16 October 1998

ER -

Experimental comparison of two information-theoretic spectral estimators

Abstract

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