Title :
Approaching capacity of a continuous channel by discrete input distributions
Author :
Schwarte, Heinrich
Author_Institution :
Inst. for Exp. Math., Essen Univ., Germany
fDate :
3/1/1996 12:00:00 AM
Abstract :
In this paper memoryless channels with general alphabets and input constraint are considered. Sufficient conditions are given that channel capacity can be approached by discrete input distributions or by uniform input distributions with finite support. As an example, the additive white Gaussian noise channel is considered
Keywords :
Gaussian channels; channel capacity; memoryless systems; white noise; AWGN channel; additive white Gaussian noise channel; channel capacity; continuous channel; discrete input distributions; general alphabets; input constraint; memoryless channels; uniform input distributions; AWGN; Additive white noise; Art; Channel capacity; Equations; Hamming distance; Information theory; Memoryless systems; Random variables; Sun;
Journal_Title :
Information Theory, IEEE Transactions on
