Feature extraction from acoustic backscattered signals using wavelet dictionaries

Nathan Intrator; Quyen Q. Huynh; Gerald J. Dobeck

Feature extraction from acoustic backscattered signals using wavelet dictionaries

Nathan Intrator^*, Quyen Q. Huynh, Gerald J. Dobeck

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper we briefly review several methods for finding data representation via optimal decomposition of wavelet basis functions and discuss their reconstruction properties. We then discuss some signal decomposition methods for the purpose of discrimination. This is followed by a brief discussion on a combination of feature extraction and classification scheme and with discrimination results on two acoustic data sets.

Original language	English
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	SPIE
Pages	183-190
Number of pages	8
ISBN (Print)	0819424943
State	Published - 1997
Externally published	Yes
Event	Detection and Remediation Technologies for Mines and Minelike Targets II - Orlando, FL, USA Duration: 21 Apr 1997 → 24 Apr 1997

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	3079
ISSN (Print)	0277-786X

Conference

Conference	Detection and Remediation Technologies for Mines and Minelike Targets II
City	Orlando, FL, USA
Period	21/04/97 → 24/04/97

Cite this

@inproceedings{7f558efd25ac419d9701c4de3f52f721,

title = "Feature extraction from acoustic backscattered signals using wavelet dictionaries",

abstract = "In this paper we briefly review several methods for finding data representation via optimal decomposition of wavelet basis functions and discuss their reconstruction properties. We then discuss some signal decomposition methods for the purpose of discrimination. This is followed by a brief discussion on a combination of feature extraction and classification scheme and with discrimination results on two acoustic data sets.",

author = "Nathan Intrator and Huynh, {Quyen Q.} and Dobeck, {Gerald J.}",

year = "1997",

language = "אנגלית",

isbn = "0819424943",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

pages = "183--190",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

address = "ארצות הברית",

note = "Detection and Remediation Technologies for Mines and Minelike Targets II ; Conference date: 21-04-1997 Through 24-04-1997",

}

Intrator, N, Huynh, QQ & Dobeck, GJ 1997, Feature extraction from acoustic backscattered signals using wavelet dictionaries. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 3079, SPIE, pp. 183-190, Detection and Remediation Technologies for Mines and Minelike Targets II, Orlando, FL, USA, 21/04/97.

Feature extraction from acoustic backscattered signals using wavelet dictionaries. / Intrator, Nathan; Huynh, Quyen Q.; Dobeck, Gerald J.
Proceedings of SPIE - The International Society for Optical Engineering. SPIE, 1997. p. 183-190 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 3079).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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BT - Proceedings of SPIE - The International Society for Optical Engineering

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T2 - Detection and Remediation Technologies for Mines and Minelike Targets II

Y2 - 21 April 1997 through 24 April 1997

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Feature extraction from acoustic backscattered signals using wavelet dictionaries

Abstract

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Conference

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