Analysis and classification of time-varying signals with multiple time-frequency structures

  title={Analysis and classification of time-varying signals with multiple time-frequency structures},
  author={Antonia Papandreou-Suppappola and S. B. Suppappola},
  journal={IEEE Signal Processing Letters},
We propose a time-frequency (TF) technique designed to match signals with multiple and different characteristics for successful analysis and classification. The method uses a modified matching pursuit signal decomposition incorporating signal-matched dictionaries. For analysis, it uses a combination of TF representations chosen adaptively to provide a concentrated representation for each selected signal component. Thus, it exhibits maximum concentration while reducing cross terms for the… CONTINUE READING
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The hyperbolic class of quadratic TF representations, Part I

  • A. Papandreou, F. Hlawatsch, G. F. Boudreaux-Bartels
  • IEEE Trans. Signal Processing, vol. 41, pp. 3425…
  • 1993
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Adaptive TF representations for multiple structures

  • A. Papandreou-Suppappola, S. Suppappola
  • inProc. 10th IEEE Workshop Statist. Signal Array…
  • 2000
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Boudreaux - Bartels , “ Quadratic time - frequency representations with scale covariance and generalized timeshift covariance

  • F. Hlawatsch A. Papandreou-Suppappola, F. G.
  • Digital Signal Process . : Rev . J .
  • 1993

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