Title :
On the necessary density for spectrum-blind nonuniform sampling subject to quantization
Author :
Gastpar, Michael ; Bresler, Yoram
Author_Institution :
Audio Visual Commun. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
It is known that in the absence of distortion, the necessary sampling density for a multiband signal is given by its spectral occupancy. However, in general, the samples have to be acquired nonuniformly. There exist sampling patterns such that reconstruction is feasible even if the actual spectral support of the multiband signal is not known. If the samples are distorted, an increased sampling density may lead to a superior performance. In this paper, we consider the case of small distortion due to fine quantization of the samples, and we derive a necessary condition on the optimal sampling density
Keywords :
quantisation (signal); signal reconstruction; signal representation; signal sampling; multiband signal; necessary sampling density; optimal sampling density; quantization; signal reconstruction; small distortion; spectral occupancy; spectrum-blind nonuniform sampling; Discrete Fourier transforms; Distortion; Frequency domain analysis; Image reconstruction; Laboratories; Magnetic resonance imaging; Nonuniform sampling; Quantization; Sampling methods; Visual communication;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861970