DocumentCode
761802
Title
Approaching capacity of a continuous channel by discrete input distributions
Author
Schwarte, Heinrich
Author_Institution
Inst. for Exp. Math., Essen Univ., Germany
Volume
42
Issue
2
fYear
1996
fDate
3/1/1996 12:00:00 AM
Firstpage
671
Lastpage
675
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;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.485742
Filename
485742
Link To Document