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Proceedings Paper

Wavelets and principal component analysis for detection of underwater magnetic objects
Author(s): Andre Quinquis
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Paper Abstract

By decomposing signals into building blocks that are well localized in space and frequency, the wavelet transform has been shown to be well adapted to detect and characterize singularities. The basis functions employ time compression (or dilation) rather than a variation of frequency of the modulated sinusoid. The wavelets are well founded on rigorous mathematical theory, and the expansions are robust. We have applied a set of orthogonal wavelets to detect magnetic underwater signals.

Paper Details

Date Published: 20 June 1995
PDF: 10 pages
Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211380
Show Author Affiliations
Andre Quinquis, Ecole Nationale Superieure des Ingenieures des Etudes et Techniques d'Armement (France)


Published in SPIE Proceedings Vol. 2496:
Detection Technologies for Mines and Minelike Targets
Abinash C. Dubey; Ivan Cindrich; James M. Ralston; Kelly A. Rigano, Editor(s)

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