Renyi information and signal-dependent optimal kernel design

Tzu-Hsien Sang*, William J. Williams

*Corresponding author for this work

研究成果: Conference article同行評審

70 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)997-1000
頁數4
期刊ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2
DOIs
出版狀態Published - 1 一月 1995
事件Proceedings of the 1995 20th International Conference on Acoustics, Speech, and Signal Processing. Part 2 (of 5) - Detroit, MI, USA
持續時間: 9 五月 199512 五月 1995

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