DocumentCode
791733
Title
Exact interpolation and iterative subdivision schemes
Author
Herley, Connac
Author_Institution
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Volume
43
Issue
6
fYear
1995
fDate
6/1/1995 12:00:00 AM
Firstpage
1348
Lastpage
1359
Abstract
We examine the circumstances under which a discrete-time signal can be exactly interpolated given only every Mth sample. After pointing out the connection between designing an M-fold interpolator and the construction of an M-channel perfect reconstruction filter bank, we derive necessary and sufficient conditions on the signal under which exact interpolation is possible. Bandlimited signals are one obvious example, but numerous others exist. We examine these and show how the interpolators may be constructed. A main application is to iterative interpolation schemes, used for the efficient generation of smooth curves. We show that conventional bandlimited interpolators are not suitable in this context. A better criterion is to use interpolators that are exact for polynomial functions. We demonstrate that these interpolators converge when iterated, and show how these may be designed for any polynomial degree N and any interpolation factor M. This makes it possible to design interpolators for iterative schemes to make best use of the resolution available in a given display medium
Keywords
band-pass filters; convergence of numerical methods; filtering theory; interpolation; iterative methods; polynomials; signal reconstruction; signal sampling; M-channel perfect reconstruction filter bank; M-fold interpolator; bandlimited interpolators; bandlimited signals; convergence; discrete-time signal; display medium; exact interpolation; interpolation factor; iterative interpolation; iterative subdivision; multidimensional signals; necessary conditions; periodic non-uniform sampling; polynomial degree; polynomial functions; resolution; sampling properties; smooth curves; sufficient conditions; Displays; Filter bank; Helium; Interpolation; Maximum likelihood detection; Polynomials; Shape; Signal design; Signal resolution; Sufficient conditions;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.388849
Filename
388849
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