DocumentCode :
930461
Title :
On the capacity of certain additive non-Gaussian channels
Author :
Binia, Jacob
Volume :
25
Issue :
4
fYear :
1979
fDate :
7/1/1979 12:00:00 AM
Firstpage :
448
Lastpage :
452
Abstract :
A model of an additive non-Gaussian noise channel with generalized average input energy constraint is considered. The asymptotic channel capacity 
, for large signal-to-noise ratio 
, is found under certain conditions on the entropy 
of the measure induced in function space by the noise process 
, relative to the measure induced by 
, where is a Gaussian process with the same covariance as that of . If 
and the channel input signal is of dimension 
, then 
, where 
. If the channel input signal is of infinite dimension and 
for 
, then 
.
, for large signal-to-noise ratio , is found under certain conditions on the entropy of the measure induced in function space by the noise process , relative to the measure induced by , where is a Gaussian process with the same covariance as that of . If and the channel input signal is of dimension , then , where . If the channel input signal is of infinite dimension and for , then .Keywords :
Information rates; Additive noise; Channel capacity; Eigenvalues and eigenfunctions; Entropy; Extraterrestrial measurements; Gaussian channels; Gaussian noise; Gaussian processes; Noise measurement; Stochastic processes;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1979.1056075
Filename :
1056075
Link To Document :
