deposit_your_work

Measuring Time-Frequency Information and Complexity using the Renyi Entropies

Files in this item

Files Size Format View
Bar1995Sep5MeasuringT.PDF 131.4Kb application/pdf Thumbnail

Show full item record

Item Metadata

Title: Measuring Time-Frequency Information and Complexity using the Renyi Entropies
Author: Baraniuk, Richard G.; Flandrin, Patrick; Michel, Olivier
Type: Conference Paper
Citation: R. G. Baraniuk, P. Flandrin and O. Michel,"Measuring Time-Frequency Information and Complexity using the Renyi Entropies," in IEEE International Symposium on Informatin Theory (ISIT),, pp. 426.
Abstract: In search of a nonparametric indicator of deterministic signal complexity, we link the Renyi entropies to time-frequency representations. The resulting measures show promise in several situations where concepts like the time-bandwidth product fail.
Date Published: 1995-09-01

This item appears in the following Collection(s)

  • ECE Publications [1032 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.