Title :
Capacity results for the discrete memoryless network
Author_Institution :
Endora Tech AG, Basel, Switzerland
Abstract :
The capacity region of the discrete memoryless network is expressed in terms of conditional mutual information and causally conditioned directed information. Codetrees play a central role in the capacity expressions
Keywords :
channel capacity; codes; discrete systems; maximum likelihood decoding; memoryless systems; trees (mathematics); capacity region; capacity results; causally conditioned directed information; codetrees; conditional mutual information; discrete memoryless network; maximum likelihood decoders; Broadcasting; Communication channels; Feedback; Maximum likelihood decoding; Merging; Mutual information; Probability distribution; Signal processing;
Conference_Titel :
Information Theory and Communications Workshop, 1999. Proceedings of the 1999 IEEE
Conference_Location :
Kruger National Park
Print_ISBN :
0-7803-5268-8
DOI :
10.1109/ITCOM.1999.781433
