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Applications of Some Statistical Measures to Spatial Signal Processing

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Adaptive Methods in Underwater Acoustics

Part of the book series: NATO ASI Series ((ASIC,volume 151))

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Abstract

The aim of this paper is to present the importance of a study of the measure of information for spatial signal processing, mainly for sonar signal processing.

For instance emphasis is given here to the Kullback directed divergence and to the Bhattacharyya divergence.

The problems of identification of the sources subspace and of the parameters of sources and ambiant noise are treated in the general case for these measures of information.

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Bibliography

  1. K. Abrahams On a selection of measures of distances between probability distribution IEEE Int Symp on Inf. Th — Santa Monica — 1981

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  2. H. Akaike A New look at the Statistical Model Identification IEEE AC-19 PP 716–723 Dec. 1974

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  3. B. Bouchon Gains d’information: mesures de proximité entre lois de probabilité Revue du Cethedec

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  4. V. Pisarenko “The retrieval of harmonics from a covariance function” Geophys. J. Roy — Astron. Soc pp 347–366 1973.

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© 1985 D. Reidel Publishing Company

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Le Cadre, JP. (1985). Applications of Some Statistical Measures to Spatial Signal Processing. In: Urban, H.G. (eds) Adaptive Methods in Underwater Acoustics. NATO ASI Series, vol 151. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-5361-1_34

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  • DOI: https://doi.org/10.1007/978-94-009-5361-1_34

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8864-0

  • Online ISBN: 978-94-009-5361-1

  • eBook Packages: Springer Book Archive

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