Time-frequency analysis of underwater acoustic signal based on improved harmonic wavelet

Lu Wang, Bo Lei

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

The application of improved harmonic wavelet in underwater acoustic signal time-frequency (TF) analysis was demonstrated. The harmonic wavelet functions windowed in frequency domain were used to improve TF positioning capability, and the wavelet coefficients dimensions were reduced after harmonic wavelet transformation to reduce the computational amount. Based on this, the rapid and accurate TF analysis will be achieved. The experimental results show that, comparing with STFT and traditional wavelet methods, the proposed method has better TF focusing ability, and obtains the signal characteristic information more quickly and accurately. This work will help to improve the underwater acoustic signal detection and feature extraction capabilities.

Original languageEnglish
Title of host publication2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Conference Proceedings
DOIs
StatePublished - 2013
Event2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013 - Xi'an, Shaanxi, China
Duration: 22 Oct 201325 Oct 2013

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Conference

Conference2013 IEEE International Conference of IEEE Region 10, IEEE TENCON 2013
Country/TerritoryChina
CityXi'an, Shaanxi
Period22/10/1325/10/13

Keywords

  • Harmonic wavelet transformation
  • Time-frequency analysis
  • Time-frequency focusing
  • Underwater acoustic signal

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