Renyi information and signal-dependent optimal kernel design

Tzu-Hsien Sang; William J. Williams

doi:10.1109/ICASSP.1995.480344

Renyi information and signal-dependent optimal kernel design

Tzu-Hsien Sang^*, William J. Williams

^*Corresponding author for this work

Institute of Electronics

Research output: Contribution to journal › Conference article › peer-review

70 Scopus citations

Abstract

The Renyi uncertainty measure [2][4] has been proposed to be a measurement of complexity of signals. We further suggest that it can be used to evaluate the performance of different time-frequency distributions(TFDs). We provide two schemes of normalization in calculating the Renyi uncertainty measure. For the first one, TFDs are normalized by their energy, while for the second one, normalized with their volume. The behavior of the Renyi uncertainty measure under several situations is studied. A signal-dependent algorithm is developed to achieve TFDs with a minimal uncertainty measure.

Original language	English
Pages (from-to)	997-1000
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2
DOIs	https://doi.org/10.1109/ICASSP.1995.480344
State	Published - 1 Jan 1995
Event	Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA Duration: 9 May 1995 → 12 May 1995

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AU - Williams, William J.

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AB - The Renyi uncertainty measure [2][4] has been proposed to be a measurement of complexity of signals. We further suggest that it can be used to evaluate the performance of different time-frequency distributions(TFDs). We provide two schemes of normalization in calculating the Renyi uncertainty measure. For the first one, TFDs are normalized by their energy, while for the second one, normalized with their volume. The behavior of the Renyi uncertainty measure under several situations is studied. A signal-dependent algorithm is developed to achieve TFDs with a minimal uncertainty measure.

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U2 - 10.1109/ICASSP.1995.480344

DO - 10.1109/ICASSP.1995.480344

M3 - Conference article

AN - SCOPUS:0028996184

VL - 2

SP - 997

EP - 1000

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

SN - 0736-7791

Y2 - 9 May 1995 through 12 May 1995

ER -

Renyi information and signal-dependent optimal kernel design

Abstract

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