2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications 2007
DOI: 10.1109/spawc.2007.4401334
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OFDM channel estimation in the presence of NBI and the effect of misspecified NBI model

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Cited by 6 publications
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“…On the other hand, we detail applications of robust Bayesian learning to communication systems, focusing on automated modulation classification (AMC), received signal strength indicator (RSSI)-based localization, as well as channel modeling and simulation. These applications have been selected in order to highlight the importance of considering uncertainty quantification, in addition to accuracy, while also emphasizing the problems of model misspecification and outliers in wireless communications [30]- [32].…”
Section: Main Contributionsmentioning
confidence: 99%
“…On the other hand, we detail applications of robust Bayesian learning to communication systems, focusing on automated modulation classification (AMC), received signal strength indicator (RSSI)-based localization, as well as channel modeling and simulation. These applications have been selected in order to highlight the importance of considering uncertainty quantification, in addition to accuracy, while also emphasizing the problems of model misspecification and outliers in wireless communications [30]- [32].…”
Section: Main Contributionsmentioning
confidence: 99%