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Approximate Maximum Likelihood Methods for Large Scale Blind Classification and Identification in Digital Communications

Abstract : We consider blind classification of linear modulation schemes for digital communication over frequency- (and time-) selective channels. We use the maximum likelihood principle and we develop several model estimators exploiting the specific structure of th
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https://pastel.archives-ouvertes.fr/pastel-00574365
Contributor : Steffen Barembruch <>
Submitted on : Monday, March 7, 2011 - 11:40:44 PM
Last modification on : Friday, July 31, 2020 - 10:44:07 AM
Long-term archiving on: : Saturday, December 3, 2016 - 8:24:56 AM

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  • HAL Id : pastel-00574365, version 1

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Steffen Barembruch. Approximate Maximum Likelihood Methods for Large Scale Blind Classification and Identification in Digital Communications. Applications [stat.AP]. Télécom ParisTech, 2010. English. ⟨pastel-00574365⟩

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