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
fDate :
11/1/2000 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on