Paper
21 January 1988 Linear System Description Using Wigner Distribution Functions
B.V.K Vijaya Kumar, Keith J. DeVos
Author Affiliations +
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B.V.K Vijaya Kumar and Keith J. DeVos "Linear System Description Using Wigner Distribution Functions", Proc. SPIE 0826, Advanced Algorithms and Architectures for Signal Processing II, (21 January 1988); https://doi.org/10.1117/12.942022
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Cited by 8 scholarly publications.
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KEYWORDS
Wigner distribution functions

Signal processing

Scattering

Convolution

Fourier transforms

Correlation function

Time-frequency analysis

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