Multiple window time-frequency and time-scale analysis

Metin Bayram, Richard G. Baraniuk

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


We propose an extension of Thomson's multiple window spectrum estimation for stationary random processes to the time-varying spectrum estimation of non-stationary random processes. Unlike previous extensions of Thomson's method, in this paper we identify and utilize optimally concentrated window and wavelet functions for the timefrequency and time-scale planes respectively. Moreover, we develop a statistical test for detecting and extracting chirping line components.

Original languageEnglish (US)
Pages (from-to)174-185
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - Oct 22 1996
EventAdvanced Signal Processing Algorithms, Architectures, and Implementations VI 1996 - Denver, United States
Duration: Aug 4 1996Aug 9 1996


  • Multiple window method
  • Non-stationary processes
  • Spectrum estimation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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