Computer Science – Information Theory
Scientific paper
2012-02-04
Computer Science
Information Theory
5 pages
Scientific paper
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 a spectral set that exhibits the highest SNR among all spectral sets of measure equal to the sampling rate. The sampled capacity can be attained through filter-bank sampling, or through a single branch of modulation and filtering followed by uniform sampling. 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.
Chen Yuxin
Eldar Yonina C.
Goldsmith Andrea J.
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