10th International Conference on Information Technology (ICIT 2007) Sequence Estimation over Finite-State Markov Channel via the Expectation Maximization Algorithm Rourkela, India December 17-December 20 ISBN: 0-7695-3068-0
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIT.2007.30
In this work, we study the application of Expectation Maximization (EM) algorithm for maximum likelihood sequence estimation (MLSE) over a fading channel which is represented by a finite state Markov chain. The proposed sequence estimation scheme is evaluated for a Finite state Markov channel (FSMC) in various channel conditions in the presence of Additive White Gaussian Noise (AWGN) through computer simulation. The error performance of the method is also discussed.
Citation:
Anup Dey, Tamal Das, "Sequence Estimation over Finite-State Markov Channel via the Expectation Maximization Algorithm," icit, pp.139-144, 10th International Conference on Information Technology (ICIT 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||