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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-3192-3
DOI :
10.1109/ICASSP.1996.544126