LMS Algorithms for Tracking Slow Markov Chains With Applications to Hidden Markov Estimation and Adaptive Multiuser Detection

DOI10.1109/TIT.2005.850075zbMath1283.94024OpenAlexW2158736939MaRDI QIDQ3547855

Publication date: 21 December 2008

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2005.850075

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Applications of Markov chains and discrete-time Markov processes on general state spaces (social mobility, learning theory, industrial processes, etc.) (60J20) Detection theory in information and communication theory (94A13)

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Signal estimation with binary-valued sensors ⋮ System identification: regime switching, unmodeled dynamics, and binary sensors ⋮ Controllability and adaptation of linear time-invariant systems under irregular and Markovian sampling ⋮ Analysis of Normalized Least Mean Squares-Based Consensus Adaptive Filters under a General Information Condition ⋮ How does a stochastic optimization/approximation algorithm adapt to a randomly evolving optimum/root with jump Markov sample paths ⋮ Tracking and identification of regime-switching systems using binary sensors

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