DocumentCode
2944960
Title
Epsilon-Capacity of a Class of Nonergodic Channels
Author
Kieffer, John
Author_Institution
Dept. of Electr. & Comput. Eng., Minnesota Univ.
fYear
2006
fDate
9-14 July 2006
Firstpage
1268
Lastpage
1271
Abstract
We consider the nonergodic channel model obtained by averaging binary symmetric channel components with respect to a weighting distribution. For a fixed epsi isin (0,1), suppose one wishes to compute the e-capacity of the nonergodic channel model, which is the optimum asymptotic rate at which the channel can be encoded via a sequence of channel codes which each yield maximal probability of decoding error les epsi. In 1963, Parthasarathy provided a formula for epsi-capacity valid for all but at most countably many values of epsi. Parthasarathy´s formula fails at precisely those epsi values in (0,1) at which the epsi-capacity function undergoes a discontinuity. We present a formula for the epsi-capacity function which is valid at a discontinuity whenever the jump in the epsi-capacity function at that discontinuity is not too large
Keywords
channel capacity; channel coding; probability; binary symmetric channel components; channel codes; decoding error; epsi-capacity function; maximal probability; nonergodic channel epsilon-capacity; optimum asymptotic rate; weighting distribution; Additive noise; Binary sequences; Capacity planning; Channel capacity; Decoding; Distributed computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2006 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
1-4244-0505-X
Electronic_ISBN
1-4244-0504-1
Type
conf
DOI
10.1109/ISIT.2006.262029
Filename
4036169
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