DocumentCode
785977
Title
Incomplete sampling series and the recovery of missing samples from oversampled band-limited signals
Author
Ferreira, Paulo J S G
Author_Institution
Dept. de Electron. e Telecommun., Aveiro Univ., Portugal
Volume
40
Issue
1
fYear
1992
fDate
1/1/1992 12:00:00 AM
Firstpage
225
Lastpage
227
Abstract
It is well known that a band-limited oversampled signal is completely determined even if an arbitrary finite number of samples is lost. It is shown that an alternative simple proof of this fact carries over to generalized sampling expansions. More precisely, it is shown that any finite number of missing samples can be recovered from the remaining ones, in the case of generalized Kramer sampling expansions, if an appropriate oversampling constraint is satisfied. The recovery can be accomplished either iteratively or noniteratively
Keywords
information theory; Kramer sampling expansions; generalized sampling expansions; incomplete sampling series; information theory; iterative sample recovery; noniterative sample recovery; oversampled band-limited signals; Equations; Fourier series; Sampling methods; Telecommunication computing; Terminology;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.157199
Filename
157199
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