TY - GEN
T1 - Finding the best mismatched detector for channel coding and hypothesis testing
AU - Abbe, Emmanuel
AU - Médard, Muriel
AU - Meyn, Sean
AU - Zheng, Lizhong
PY - 2007
Y1 - 2007
N2 - The mismatched-channel formulation is generalized to obtain simplified algorithms for computation of capacity bounds and improved signal constellation designs. The following issues are addressed: (i) For a given finite dimensional family of linear detectors, how can we compute the best in this class to maximize the reliably received rate? That is, what is the best mismatched detector in a given class? (ii) For computation of the best detector, a new algorithm is proposed based on a stochastic approximation implementation of the Newton-Raphson method. (iii) The geometric setting provides a unified treatment of channel coding and robust/adaptive hypothesis testing.
AB - The mismatched-channel formulation is generalized to obtain simplified algorithms for computation of capacity bounds and improved signal constellation designs. The following issues are addressed: (i) For a given finite dimensional family of linear detectors, how can we compute the best in this class to maximize the reliably received rate? That is, what is the best mismatched detector in a given class? (ii) For computation of the best detector, a new algorithm is proposed based on a stochastic approximation implementation of the Newton-Raphson method. (iii) The geometric setting provides a unified treatment of channel coding and robust/adaptive hypothesis testing.
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U2 - 10.1109/ITA.2007.4357593
DO - 10.1109/ITA.2007.4357593
M3 - Conference contribution
AN - SCOPUS:48049109798
SN - 9780615153148
T3 - 2007 Information Theory and Applications Workshop, Conference Proceedings, ITA
SP - 284
EP - 288
BT - 2007 Information Theory and Applications Workshop, Conference Proceedings, ITA
T2 - 2007 Information Theory and Applications Workshop, ITA
Y2 - 29 January 2007 through 2 February 2007
ER -