Application of a sparse time-frequency technique for targets with oscillatory fluctuations

Masoud Farshchian, Ivan Selesnick

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

Abstract

In this paper, an application of the tunable Q-Factor wavelet transform (TQWT) to a maritime object classification problem is demonstrated. The TQWT, which depends on the two main parameters of the Q-factor and asymptotic redundancy, matches the oscillatory behaviour of the signal of interest when tuned. The approach, which differs from the Fourier and Wavelet transforms, decomposes a signal into a 'high-Q-factor' and 'low-Q-factor' component, and can be used to distinguish two radar range profiles of different oscillatory nature. The results of the paper show that the TQWT can provide sparse representation for some signals and that morphological component analysis (MCA) can be used to differentiate two radar signals based on their TQWT parameters.

Original languageEnglish (US)
Title of host publication2012 International Waveform Diversity and Design Conference, WDD 2012
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages191-196
Number of pages6
ISBN (Electronic)9781509005987
DOIs
StatePublished - Oct 28 2015
EventInternational Waveform Diversity and Design Conference, WDD 2012 - Kauai, United States
Duration: Jan 22 2015Jan 27 2015

Publication series

Name2012 International Waveform Diversity and Design Conference, WDD 2012

Other

OtherInternational Waveform Diversity and Design Conference, WDD 2012
Country/TerritoryUnited States
CityKauai
Period1/22/151/27/15

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Computer Networks and Communications

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