Minimum hellinger distance based classification of underwater acoustic signals

B. E. Bissinger; R. L. Culver; N. K. Bose

doi:10.1109/CISS.2009.5054688

Minimum hellinger distance based classification of underwater acoustic signals

B. E. Bissinger
, R. L. Culver
, N. K. Bose

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

6 Scopus citations

Abstract

Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger Distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.

Original language	English (US)
Title of host publication	Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages	47-49
Number of pages	3
DOIs	https://doi.org/10.1109/CISS.2009.5054688
State	Published - 2009
Event	43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States Duration: Mar 18 2009 → Mar 20 2009

Publication series

Name	Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Other

Other	43rd Annual Conference on Information Sciences and Systems, CISS 2009
Country/Territory	United States
City	Baltimore, MD
Period	3/18/09 → 3/20/09

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems

Access to Document

10.1109/CISS.2009.5054688

Cite this

Bissinger, B. E., Culver, R. L., & Bose, N. K. (2009). Minimum hellinger distance based classification of underwater acoustic signals. In Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009 (pp. 47-49). Article 5054688 (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009). https://doi.org/10.1109/CISS.2009.5054688

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title = "Minimum hellinger distance based classification of underwater acoustic signals",

abstract = "Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger Distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.",

author = "Bissinger, \{B. E.\} and Culver, \{R. L.\} and Bose, \{N. K.\}",

year = "2009",

doi = "10.1109/CISS.2009.5054688",

language = "English (US)",

isbn = "9781424427345",

series = "Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009",

pages = "47--49",

booktitle = "Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009",

note = "43rd Annual Conference on Information Sciences and Systems, CISS 2009 ; Conference date: 18-03-2009 Through 20-03-2009",

}

Bissinger, BE, Culver, RL & Bose, NK 2009, Minimum hellinger distance based classification of underwater acoustic signals. in Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009., 5054688, Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009, pp. 47-49, 43rd Annual Conference on Information Sciences and Systems, CISS 2009, Baltimore, MD, United States, 3/18/09. https://doi.org/10.1109/CISS.2009.5054688

Minimum hellinger distance based classification of underwater acoustic signals. / Bissinger, B. E.; Culver, R. L.; Bose, N. K.
Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009. 2009. p. 47-49 5054688 (Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009).

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

TY - GEN

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AU - Culver, R. L.

AU - Bose, N. K.

PY - 2009

Y1 - 2009

N2 - Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger Distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.

AB - Source classification and localization in the underwater environment is a challenging problem in part because propagation through the space- and time-varying medium introduces uncertainty in the signal. Coupled with uncertainty in environmental parameters, this uncertainty in received signals leads to a statistical treatment. Minimum Hellinger Distance (MHD) methods provide a robust and efficient framework for making classification decisions in this context.

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DO - 10.1109/CISS.2009.5054688

M3 - Conference contribution

AN - SCOPUS:70349669255

SN - 9781424427345

T3 - Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

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BT - Proceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

T2 - 43rd Annual Conference on Information Sciences and Systems, CISS 2009

Y2 - 18 March 2009 through 20 March 2009

ER -

Minimum hellinger distance based classification of underwater acoustic signals

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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