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Measuring Time-Frequency Information Content using the Renyi Entropies

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Title: Measuring Time-Frequency Information Content using the Renyi Entropies
Author: Baraniuk, Richard G.; Flandrin, Patrick; Janssen, A. J. E. M.; Michel, Olivier
Type: Journal Paper
Keywords: time-frequency
Citation: R. G. Baraniuk, P. Flandrin, A. J. E. M. Janssen and O. Michel, "Measuring Time-Frequency Information Content using the Renyi Entropies," IEEE Transactions on Information Theory, vol. 47, no. 4, pp. 1391-1409, 2001.
Abstract: The generalized entropies of Renyi inspire new measures for estimating signal information and complexity in the time-frequency plane. When applied to a time-frequency representation (TFR) from Cohen's class or the affine class, the Renyi entropies conform closely to the notion of complexity that we use when visually inspecting time-frequency images. These measures possess several additional interesting and useful properties, such as accounting and cross-component and transformation invariances, that make them natural for time-frequency analysis. This paper comprises a detailed study of the properties and several potential applications of the Renyi entropies, with emphasis on the mathematical foundations for quadratic TFRs. In particular, for the Wigner distribution, we establish that there exist signals for which the measures are not well defined.
Date Published: 2001-05-01

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    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.