DocumentCode
302837
Title
Nonseparable sampling theorems for two-dimensional signals
Author
Lin, Yuan-Pei ; Vaidyanathan, P.P.
Author_Institution
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume
3
fYear
1996
fDate
7-10 May 1996
Firstpage
1668
Abstract
It is well-known that continuous time bandlimited signals can be sampled without creating aliasing if the sampling period is small enough. It is also known that if x(t) is a bandpass signal, the passbands of X(Ω) must be located properly for alias-free maximal sampling. Similar situations arise in discrete time case. This paper addresses these issues for two-dimensional (2D) one- and two-parallelogram signals, which are respectively the classes of 2D signals (continuous or discrete time) whose Fourier transforms have supports consisting of one and two parallelograms. In this paper, we derive necessary and sufficient conditions such that a one- or two-parallelogram signal (continuous and discrete time) allows maximal alias-free sampling
Keywords
Fourier transforms; signal reconstruction; signal sampling; 2D signals; Fourier transforms; alias-free maximal sampling; bandpass signal; continuous time bandlimited signals; discrete time signals; nonseparable sampling theorems; one-parallelogram signals; two-dimensional signals; two-parallelogram signals; Bandwidth; Filter bank; Fourier transforms; Passband; Sampling methods; Signal analysis; Signal design; Sufficient conditions; Symmetric matrices; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location
Atlanta, GA
ISSN
1520-6149
Print_ISBN
0-7803-3192-3
Type
conf
DOI
10.1109/ICASSP.1996.544126
Filename
544126
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