Dynamics using the Wigner distribution

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 11 Nov 2002 Italy Publisher:IEEE Comput. SocJournal:Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, volume 3, pages 250-253

Authors: GALLEANI, Lorenzo; COHEN L.;

doi: 10.1109/icpr.2000.903532

handle: 11583/1663137

Dynamics using the Wigner distribution

- Summary
- Metrics

Abstract

A new method is described to study dynamical systems characterized by linear ordinary differential equations. The method is aimed at studying the time-varying properties of the resulting solution of the differential equation. In contrast to the standard methods where one solves the differential equation and then uses a time-frequency distribution, for example the Wigner distribution, to ascertain the time-frequency properties of the solution we show that one can obtain a differential equation for the Wigner distribution of the solution. We discuss a number of advantages for doing so.

Country

Italy

Related Organizations

King’s University
United States
City University of New York
United States
Polytechnic University of Turin
Italy

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	4
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average