DocumentCode :
1412704
Title :
On identification capacity of infinite alphabets or continuous-time channels
Author :
Burnashev, Marat V.
Author_Institution :
Inst. of Inf. Transmission Problems, Acad. of Sci., Moscow, Russia
Volume :
46
Issue :
7
fYear :
2000
fDate :
11/1/2000 12:00:00 AM
Firstpage :
2407
Lastpage :
2414
Abstract :
Two kinds of channels are considered: (1) discrete-time channel with additive noise, and (2) Poisson and white Gaussian (i.e., continuous-time) channels. For the type (1) channel there are given some sufficient conditions when the Shannon and identification capacities coincide. It is shown that the identification capacity of Poisson and Gaussian channels without bandwidth constraint is infinite. Conversely, for a white Gaussian channel with bandwidth constraint, the identification capacity coincides with the Shannon capacity
Keywords :
AWGN channels; channel capacity; continuous time systems; discrete time systems; identification; stochastic processes; Poisson channel; Shannon capacity; additive noise; bandwidth constraint; continuous-time channel; continuous-time channels; discrete-time channel; identification capacity; infinite alphabets; sufficient conditions; white Gaussian noise channel; Additive noise; Bandwidth; Codes; Density measurement; Gaussian channels; Memoryless systems; Noise measurement; Random variables; Signal generators; Sufficient conditions;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/18.887853
Filename :
887853
Link To Document :
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