Minimum hellinger distance based classification of underwater acoustic signals

B. E. Bissinger, Richard Lee Culver, N. K. Bose

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 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 languageEnglish (US)
Title of host publicationProceedings - 43rd Annual Conference on Information Sciences and Systems, CISS 2009
Pages47-49
Number of pages3
DOIs
StatePublished - 2009
Event43rd Annual Conference on Information Sciences and Systems, CISS 2009 - Baltimore, MD, United States
Duration: Mar 18 2009Mar 20 2009

Other

Other43rd Annual Conference on Information Sciences and Systems, CISS 2009
Country/TerritoryUnited States
CityBaltimore, MD
Period3/18/093/20/09

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Fingerprint

Dive into the research topics of 'Minimum hellinger distance based classification of underwater acoustic signals'. Together they form a unique fingerprint.

Cite this