Title :
Achievable rates for a constrained Gaussian channel
Author :
Ozarow, Lawrence H. ; Wyner, Aaron D. ; Ziv, Jacob
Author_Institution :
AT&T Bell Lab., Murray Hill, NJ, USA
fDate :
5/1/1988 12:00:00 AM
Abstract :
The authors obtained lower bounds to the capacity of the continuous-time filtered additive Gaussian noise channel with two-valued inputs. Essentially, the problem reduces to the continuous-time peak-limited case, which remains an unsolved problem of primary importance in communication theory
Keywords :
channel capacity; filtering and prediction theory; information theory; telecommunication channels; achievable rates; additive Gaussian noise channel; channel capacity; communication theory; constrained Gaussian channel; continuous-time filtered channel; lower bounds; Band pass filters; Bandwidth; Channel capacity; Fourier transforms; Frequency; Gaussian channels; Helium; Information theory; Low pass filters; Switches;
Journal_Title :
Information Theory, IEEE Transactions on
