Accelerated iterative band-limited extrapolation algorithms

Accelerated iterative band-limited extrapolation algorithms

The iterative algorithms of Papoulis-Gerchberg and Cadzow are well-known algorithms for solving the band-limited extrapolation problem. These algorithms, however, are usually slowly convergent. We propose an acceleration scheme for both algorithms, based on finding best approximation in appropriate...

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Veröffentlicht in:IEEE signal processing letters 2004-11, Vol.11 (11), p.871-874
Hauptverfasser: Salomon, B.G., Ur, H.
Format: Artikel
Sprache:eng
Schlagworte:
Acceleration
Algorithms
Approximation
Approximation algorithms
Electronics packaging
Extrapolation
Hilbert space
Image segmentation
Iterative algorithms
Mathematical analysis
Projection
Restoration
Signal processing
Signal processing algorithms
Signal restoration
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Zusammenfassung:The iterative algorithms of Papoulis-Gerchberg and Cadzow are well-known algorithms for solving the band-limited extrapolation problem. These algorithms, however, are usually slowly convergent. We propose an acceleration scheme for both algorithms, based on finding best approximation in appropriate subspaces. The acceleration scheme can also be applied to other cases of signal restoration, which admit Youla's method of alternating orthogonal projections.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2004.836950