Classification of linear and nonlinear modulations using Bayesian methods
This thesis studies classification of digital linear and nonlinear modulations using Bayesian methods. Modulation recognition consists of identifying, at the receiver, the type of modulation signals used by the transmitter. It is important in many communication scenarios, for example, to secure tran...
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Format: | Others |
Published: |
2008
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Online Access: | http://oatao.univ-toulouse.fr/7730/1/puengnim.pdf |