Title :
Source and channel simulation using arbitrary randomness
Author :
Y?cel Altug;Aaron B. Wagner
Author_Institution :
School of Electrical and Computer Engineering, Cornell University, Ithaca, NY, 14853, USA
Abstract :
Necessary and sufficient conditions for approximation of a general channel by a general source are proved. For the special case in which the channel input is deterministic, which corresponds to source simulation, we prove a stronger necessary condition. As the approximation criteria, vanishing variational distance between the original and the approximated quantity is used for both of the problems. Both necessary and sufficient conditions for the two problems are based on some individual properties of the sources and the channel and are relatively easy to evaluate. In particular, unlike prior results for this problem, our results do not require solving an optimization problem to test simulatability.
Keywords :
"Sufficient conditions","Computational modeling","Information theory","Computer simulation","Random processes","Computer science","Computational complexity","Testing","Speech processing","Mathematics"
Conference_Titel :
Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
Print_ISBN :
978-1-4244-5870-7
DOI :
10.1109/ALLERTON.2009.5394911