DocumentCode
910613
Title
Estimates of
capacity for certain linear communication channels
Author
Root, William L.
Volume
14
Issue
3
fYear
1968
fDate
5/1/1968 12:00:00 AM
Firstpage
361
Lastpage
369
Abstract
The following simple abstract model for a class of communications problems is adopted: the set of possible transmitted signals
is taken to be the unit ball in the
space of functions defined on
(bounded energy); the transmitted signal is assumed to be operated on by a convolution operator
; and the final observed received signal
is
, where
is an unknown error, caused either by additive noise, lack of complete knowledge of
, or other causes, of norm less than some specified
(not necessarily small). The problem is to determine how many "distinguishable" signals can be sent, i.e., how many
there are such that the
are separated in norm by at least
. The chief results are asymptotic upper and lower bounds on the rate of error-free transmission possible, i.e., the ratio of the logarithm of the number of distinguishable signals to the time interval
as
. These estimates are in terms of the Fourier transform of the kernel of the convolution operator
. The suitability of the model and the nature of the results are discussed.
is taken to be the unit ball in the
space of functions defined on
(bounded energy); the transmitted signal is assumed to be operated on by a convolution operator
; and the final observed received signal
is
, where
is an unknown error, caused either by additive noise, lack of complete knowledge of
, or other causes, of norm less than some specified
(not necessarily small). The problem is to determine how many "distinguishable" signals can be sent, i.e., how many
there are such that the
are separated in norm by at least
. The chief results are asymptotic upper and lower bounds on the rate of error-free transmission possible, i.e., the ratio of the logarithm of the number of distinguishable signals to the time interval
as
. These estimates are in terms of the Fourier transform of the kernel of the convolution operator
. The suitability of the model and the nature of the results are discussed.Keywords
Information theory; Additive noise; Channel capacity; Communication channels; Convolution; Distortion; Fourier transforms; Gaussian channels; Kernel; NASA; Signal mapping;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.1968.1054156
Filename
1054156
Link To Document