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Hidden Markov modeling of flat fading channels.

Hidden Markov models (HMMs) are a powerful tool for modeling stochastic random processes. They are general enough to model with high accuracy a large variety of processes and are relatively simple allowing us to compute analytically many important parameters of the process which are very difficult t...

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Pubblicato in:IEEE Journal on selected areas in communications 16, 9 (1998).
Autore principale: Turin, W.
Natura: Articolo
Lingua:inglese
Soggetti:
HMM.
Rayleigh fading.
Algorithms.
Closed-form solutions.
Communication channel fading.
Complex Gaussian processes.
Experimental data.
Fade duration.
Flat fading channels.
Hidden Markov modeling.
High accuracy.
Level crossings.
Probability distribution.
Stochastic random processes.