DocumentCode :
3076598
Title :
Stochastic averaging analysis of an adaptive time delay estimation algorithm
Author :
Kong, Xuan ; Solo, Victor
Author_Institution :
Dept. of Electr. & Comput. Eng., Johns Hopkins Univ., Baltimore, MD, USA
fYear :
1990
fDate :
5-7 Dec 1990
Firstpage :
3552
Abstract :
The authors present a theoretical analysis of an adaptive delay estimation algorithm based on stochastic averaging theory. Both time-invariant and time-variant delay cases are considered. With time-invariant delay, the estimator is found to converge weakly to a deterministic differential equation as adaptive speed decreases. For the time-variant delay case, a first-order averaging analysis gives a similar result. Simulation results are also presented
Keywords :
convergence; differential equations; estimation theory; signal processing; adaptive time delay estimation algorithm; deterministic differential equation; first-order averaging analysis; signal processing; stochastic averaging theory; time-invariant delay; time-variant delay; Algorithm design and analysis; Delay effects; Delay estimation; Large Hadron Collider; Signal analysis; Signal processing; Stochastic processes; TV; Time varying systems; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location :
Honolulu, HI
Type :
conf
DOI :
10.1109/CDC.1990.203484
Filename :
203484
Link To Document :
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