Adaptive RID kernels which minimize time-frequency uncertainty

William J. Williams*, Tzu-Hsien Sang

*Corresponding author for this work

Research output: Contribution to conferencePaper

42 Scopus citations

Abstract

The Reduced Interference Distribution (RID) satisfies many of the desirable properties of time-frequency distributions (TFDs), including reduced interference. Using simple rules, it is possible to define kernels which guarantee the RID properties. A primitive h(t) is the starting point for kernel design. Starting with this primitive h(t), one may evolve a RID which enjoys all of the desirable properties. In addition, RIDs designed by this means also exhibit scale invariance in addition to the time-shift invariance and frequency-shift invariance exhibited by members of Cohen's class relevant to these properties. Such RIDs also exhibit a property which we call Information Invariance. Information invariance is defined under Renyi's generalized information. Renyi information has been found to be a useful quantifier of resolution in TFDs wherein minimum values of Renyi information are related to maximum resolution of the signal components. In this paper, we show that h(t) may be adapted to minimize Renyi information and thus achieve very good time-frequency resolution.

Original languageEnglish
Pages96-99
Number of pages4
StatePublished - 1 Dec 1994
EventProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Philadelphia, PA, USA
Duration: 25 Oct 199428 Oct 1994

Conference

ConferenceProceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis
CityPhiladelphia, PA, USA
Period25/10/9428/10/94

Fingerprint Dive into the research topics of 'Adaptive RID kernels which minimize time-frequency uncertainty'. Together they form a unique fingerprint.

  • Cite this

    Williams, W. J., & Sang, T-H. (1994). Adaptive RID kernels which minimize time-frequency uncertainty. 96-99. Paper presented at Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, Philadelphia, PA, USA, .