Measuring time-frequency information content using the Renyi entropies

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Measuring time-Frequency information content using the Rényi entropies

The generalized entropies of Rényi 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 Rényi entropies conform closely to the notion of complexity that we use when visually inspecting time–frequency images. These measures possess several additional int...

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Martin Müller-Lennert,1 Frédéric Dupuis,2 Oleg Szehr,3 Serge Fehr,4 and Marco Tomamichel5 Department of Mathematics, ETH Zurich, 8092 Zürich, Switzerland Department of Computer Science, Aarhus University, 8200 Aarhus, Denmark Department of Mathematics, Technische Universität München, 85748 Garching, Germany CWI (Centrum Wiskunde & Informatica), 1090 Amsterdam, The Netherlands Centre for Quantum...

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ژورنال

عنوان ژورنال: IEEE Transactions on Information Theory

سال: 2001

ISSN: 0018-9448

DOI: 10.1109/18.923723