20 June 1995 Wavelets and principal component analysis for detection of underwater magnetic objects
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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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andre Quinquis, Andre Quinquis, } "Wavelets and principal component analysis for detection of underwater magnetic objects", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); doi: 10.1117/12.211380; https://doi.org/10.1117/12.211380
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