Window design for signal-dependent spectrogram using optimal kernel techniques

Chad C. Carson, Richard G. Baraniuk

Research output: Contribution to journalConference articlepeer-review


Time-frequency distributions (TFDs) have proven useful in a wide variety of nonstationary signal processing applications. While sophisticated optimal bilinear TFDs have been developed to extract the maximum possible timefrequency information from signals, certain applications dictate simpler linear, running-FFT processing techniques. In this paper, we propose a signal-dependent short-time Fourier transform/spectrogram that enjoys many of the advantages of optimal bilinear TFDs yet retains the simplicity and efficiency of running-FFT processing. In addition, we extend the optimal kernel design problem to linear spaces of signals.

Original languageEnglish (US)
Pages (from-to)296-305
Number of pages10
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


  • Optimal kernel design
  • Spectrogram
  • Time-frequency analysis
  • Wigner distribution

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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