High resolution Krylov space 3-D wavenumber-frequency analysis

Hongya Ge, Ivars P. Kirsteins

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

1 Scopus citations

Abstract

Driven by the need for identifying the presence of flow noise components in a towed volumetric acoustic array, methodologies are developed for high resolution 3-dimensional (3-D) wavenumber-frequency (k-f) analysis based on Krylov space techniques. These methods are applied to actual noise data from a sea trial. The experimental results indicate that the Krylov-based method outperforms conventional approaches and provides efficient and effective solutions to k-f analysis.

Original languageEnglish (US)
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
PagesII889-II892
DOIs
StatePublished - 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: Apr 15 2007Apr 20 2007

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period4/15/074/20/07

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Keywords

  • Array signal processing
  • Krylov space
  • Sonar imaging
  • Sonar signal processing

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