DocumentCode
1497824
Title
An overview of aliasing errors in discrete-time formulations of time-frequency representations
Author
Costa, Antonio H. ; Boudreaux-Bartels, G. Faye
Author_Institution
Dept. of Electr. & Comput. Eng., Massachusetts-Dartmouth, North Darmouth, MA, USA
Volume
47
Issue
5
fYear
1999
fDate
5/1/1999 12:00:00 AM
Firstpage
1463
Lastpage
1474
Abstract
Discrete-time time-frequency representation (TFR) algorithms claim to provide alias-free approximations to their continuous-time TFR counterparts without requiring oversampling of the signal By counterexamples, we demonstrate that some of these claims are invalid. We give new necessary conditions for reducing aliasing errors in these discrete-time TFR algorithms
Keywords
Fourier transforms; Wigner distribution; approximation theory; error analysis; signal representation; signal sampling; spectral analysis; time-frequency analysis; Cohen´s quadratic fixed-kernel class; Fourier transform; TFR algorithms; alias-free approximations; aliasing errors reduction; discrete-time Wigner distribution; discrete-time time-frequency representation; lD spectral representation; necessary conditions; signal sampling; Computer errors; Data analysis; Distributed computing; Fourier transforms; Frequency; Kernel; Signal analysis; Signal processing; Signal sampling; Smoothing methods;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.757245
Filename
757245
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