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Spectrum sensing of correlated subbands with colored noise in cognitive radios
(IEEE, 2012)
In this paper, we consider the problem of wideband spectrum sensing by using the correlation among the observation samples in different subbands. The Primary User (PU) signal samples in occupied subbands are assumed to be ...
Sparse channel estimation for OFDM-based underwater cooperative systems with amplify-and-forward relaying
(IEEE, 2014)
This paper is concerned with a challenging problem of channel estimation for amplify-and-forward cooperative relay based orthogonal frequency division multiplexing (OFDM) systems in the presence of sparse underwater acoustic ...
Supervising topic models with Gaussian processes
(Elsevier, 2018-05)
Topic modeling is a powerful approach for modeling data represented as high-dimensional histograms. While the high dimensionality of such input data is extremely beneficial in unsupervised applications including language ...
Variational bayesian multiple instance learning with gaussian processes
(IEEE, 2017)
Gaussian Processes (GPs) are effective Bayesian predictors. We here show for the first time that instance labels of a GP classifier can be inferred in the multiple instance learning (MIL) setting using variational Bayes. ...
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