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
Link To Document :
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