Applications of the Wigner Distribution Function in Signal Processing

<p/> <p>We present a review of the applications of the Wigner distribution function in various areas of signal processing: amplitude and phase retrieval, signal recognition, characterization of arbitrary signals, optical systems and devices, and coupling coefficient estimation in phase s...

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Main Author: Dragoman Daniela
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://dx.doi.org/10.1155/ASP.2005.1520
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author Dragoman Daniela
author_facet Dragoman Daniela
author_sort Dragoman Daniela
collection DOAJ
description <p/> <p>We present a review of the applications of the Wigner distribution function in various areas of signal processing: amplitude and phase retrieval, signal recognition, characterization of arbitrary signals, optical systems and devices, and coupling coefficient estimation in phase space. Although reference is made to specific signals and systems, the mathematical formulation is general and can be applied to either spatial, temporal, or spatio-temporal phase spaces, to coherent, partially coherent, or discrete signals. The universal and intuitive character of the Wigner distribution approach to signal characterization and processing and its simplicity in solving many issues are evidenced throughout the paper.</p>
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spelling doaj.art-50a9f7ce7b494cde9dac3e64c03d1d522022-12-21T20:08:46ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802005-01-01200510264967Applications of the Wigner Distribution Function in Signal ProcessingDragoman Daniela<p/> <p>We present a review of the applications of the Wigner distribution function in various areas of signal processing: amplitude and phase retrieval, signal recognition, characterization of arbitrary signals, optical systems and devices, and coupling coefficient estimation in phase space. Although reference is made to specific signals and systems, the mathematical formulation is general and can be applied to either spatial, temporal, or spatio-temporal phase spaces, to coherent, partially coherent, or discrete signals. The universal and intuitive character of the Wigner distribution approach to signal characterization and processing and its simplicity in solving many issues are evidenced throughout the paper.</p>http://dx.doi.org/10.1155/ASP.2005.1520signal processingphase spaceWigner distribution function
spellingShingle Dragoman Daniela
Applications of the Wigner Distribution Function in Signal Processing
EURASIP Journal on Advances in Signal Processing
signal processing
phase space
Wigner distribution function
title Applications of the Wigner Distribution Function in Signal Processing
title_full Applications of the Wigner Distribution Function in Signal Processing
title_fullStr Applications of the Wigner Distribution Function in Signal Processing
title_full_unstemmed Applications of the Wigner Distribution Function in Signal Processing
title_short Applications of the Wigner Distribution Function in Signal Processing
title_sort applications of the wigner distribution function in signal processing
topic signal processing
phase space
Wigner distribution function
url http://dx.doi.org/10.1155/ASP.2005.1520
work_keys_str_mv AT dragomandaniela applicationsofthewignerdistributionfunctioninsignalprocessing