TY - GEN
T1 - Small-sample distribution estimation over sticky channels
AU - Famoud, Farzad
AU - Milenkovic, Olgica
AU - Santhanam, Narayana Prasad
PY - 2009
Y1 - 2009
N2 - We consider the problem of estimating unknown source distributions based on a small num ber of possibly erroneous observations. Errors are modeled as arising from sticky channels, which introduce repetitions of transmitted source symbols. Both the problems of estimating the distribution for known and unknown channel parameters are considered. We propose three heuristic algorithms and a method based on ExpectationMaximization for solving the problem. These algorithms represent a combination of iterative optimization techniques and Good-Turing estimators.
AB - We consider the problem of estimating unknown source distributions based on a small num ber of possibly erroneous observations. Errors are modeled as arising from sticky channels, which introduce repetitions of transmitted source symbols. Both the problems of estimating the distribution for known and unknown channel parameters are considered. We propose three heuristic algorithms and a method based on ExpectationMaximization for solving the problem. These algorithms represent a combination of iterative optimization techniques and Good-Turing estimators.
UR - http://www.scopus.com/inward/record.url?scp=70449503871&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449503871&partnerID=8YFLogxK
U2 - 10.1109/ISIT.2009.5206020
DO - 10.1109/ISIT.2009.5206020
M3 - Conference contribution
AN - SCOPUS:70449503871
SN - 9781424443130
T3 - IEEE International Symposium on Information Theory - Proceedings
SP - 1125
EP - 1129
BT - 2009 IEEE International Symposium on Information Theory, ISIT 2009
T2 - 2009 IEEE International Symposium on Information Theory, ISIT 2009
Y2 - 28 June 2009 through 3 July 2009
ER -