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Signal extrapolation based on wavelet transform

  • Xiang Gen Xia*
  • , C. C.Jay Kuo
  • , Zhen Zhang
  • *Corresponding author for this work
  • University of Southern California

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The Papoulis-Gerchberg (PG) algorithm is well known for band-limited signal extrapolation. In this paper, we generalize the PG algorithm to signals in wavelet subspaces. We consider the generalized PG algorithm for both continuous and discrete time signals and investigate its convergence. Numerical examples show the performance.

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherPubl by IEEE
Pages507-510
Number of pages4
ISBN (Print)0780312813
Publication statusPublished - 1993
Externally publishedYes
Event1993 IEEE International Symposium on Circuits and Systems - Chicago, IL, USA
Duration: 3 May 19936 May 1993

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume1
ISSN (Print)0271-4310

Conference

Conference1993 IEEE International Symposium on Circuits and Systems
CityChicago, IL, USA
Period3/05/936/05/93

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