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Proceedings Paper

Linear System Description Using Wigner Distribution Functions
Author(s): B.V.K Vijaya Kumar; Keith J. DeVos
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Paper Abstract

The Wigner Distribution Function (WDF) is a time-frequency descriptor capable of tracking the time-varying second order statistics in a signal. In this paper, we characterize linear systems in terms of the WDFs of the inputs and outputs. These input/output relations are provided for both continuous-time and discrete-time systems. An application of these results for the identification of a random, time-varying system is suggested.

Paper Details

Date Published: 21 January 1988
PDF: 11 pages
Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); doi: 10.1117/12.942022
Show Author Affiliations
B.V.K Vijaya Kumar, Carnegie Mellon University (United States)
Keith J. DeVos, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 0826:
Advanced Algorithms and Architectures for Signal Processing II
Franklin T. Luk, Editor(s)

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