Title :
Channel capacity under general nonuniform sampling
Author :
Chen, Yuxin ; Eldar, Yonina C. ; Goldsmith, Andrea J.
Abstract :
This paper develops the fundamental capacity limits of a sampled analog channel under a sub-Nyquist sampling rate constraint. In particular, we derive the capacity of sampled analog channels over a general class of time-preserving sampling methods including irregular nonuniform sampling. Our results indicate that the optimal sampling structures extract out the set of frequencies that exhibits the highest SNR among all spectral sets of support size equal to the sampling rate. The capacity under sub-Nyquist sampling can be attained through filter-bank sampling, or through a single branch of modulation and filtering followed by uniform sampling. The capacity under sub-Nyquist sampling is a monotone function of the sampling rate. These results indicate that the optimal sampling schemes suppress aliasing, and that employing irregular nonuniform sampling does not provide capacity gain over uniform sampling sets with appropriate preprocessing for a large class of channels.
Keywords :
channel bank filters; channel capacity; modulation; sampling methods; SNR; capacity gain; channel capacity; channel preprocessing; filter-bank sampling; fundamental capacity limits; irregular nonuniform sampling; modulation branch; monotone function; optimal sampling structures extraction; sampled analog channel; sampling rate; subNyquist sampling rate constraint; time-preserving sampling methods; uniform sampling; Bandwidth; Channel capacity; Modulation; Nonuniform sampling; Signal to noise ratio; Upper bound; nonuniform sampling; sampled analog channels; sub-Nyquist sampling;
Conference_Titel :
Information Theory Proceedings (ISIT), 2012 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4673-2580-6
Electronic_ISBN :
2157-8095
DOI :
10.1109/ISIT.2012.6284682