DocumentCode
1377946
Title
Extrapolation of Bandlimited Signals in Linear Canonical Transform Domain
Author
Shi, Jun ; Sha, Xuejun ; Zhang, Qinyu ; Zhang, Naitong
Author_Institution
Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
Volume
60
Issue
3
fYear
2012
fDate
3/1/2012 12:00:00 AM
Firstpage
1502
Lastpage
1508
Abstract
The linear canonical transform (LCT) has been shown to be a powerful analyzing tool in signal processing. Many results of this transform are already known, including bandlimited extrapolation. The existing algorithm for solving the problem of LCT bandlimited extrapolation is based on signal expansion into a series of generalized prolate spheroidal wave functions (GPSWFs). However, the requirement to compute and store the GPSWFs and the errors due to the series truncation render this algorithm ill-suitable for a practical implementation. In this correspondence, we first propose a new formulation of the Gerchberg-Papoulis (GP) algorithm for LCT bandlimited extrapolation. Then, we present a fast convergence algorithm for the new formulation. The classical GP algorithm related to Fourier bandlimited signals is noted as a special case. Moreover, the comparison between the proposed algorithm and the one based on GPSWFs expansion is provided, and the validity of the theoretical derivations is demonstrated via simulations. Several potential applications of the achieved theory are also presented.
Keywords
Fourier transforms; convergence of numerical methods; extrapolation; signal processing; Fourier bandlimited signals; GP algorithm; GPSWF; Gerchberg-Papoulis algorithm; LCT bandlimited signal extrapolation; convergence algorithm; generalized prolate spheroidal wave functions; linear canonical transform domain; series truncation; signal expansion; signal processing; Approximation algorithms; Convergence; Convolution; Extrapolation; Signal processing algorithms; Transforms; Wave functions; Bandlimited signals; linear canonical transform; prolate spheroidal wave functions; signal extrapolation;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2011.2176338
Filename
6082464
Link To Document