Wavelets and principal component analysis for detection of underwater magnetic objects

Andre Quinquis

doi:10.1117/12.211380

20 June 1995 Wavelets and principal component analysis for detection of underwater magnetic objects

Andre Quinquis

Proceedings Volume 2496, Detection Technologies for Mines and Minelike Targets; (1995) https://doi.org/10.1117/12.211380
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

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); https://doi.org/10.1117/12.211380

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available