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Mort Naraghi-Pour

2 accepted papers

2017

Correlation-based detection of TCM signals for cognitive radios

ICASSP 2017accepted

In this work, the inter-dependency of TCM signals is studied. Using this inter-dependency, correlation-based detectors are proposed for spectrum sensing of TCM signals in white Gaussian noise. In particular, a constant false alarm rate (CFAR) detector is presented and its performance is evaluated us…

Cited by 0SourceScholar
2015

Context-based Unsupervised Data Fusion for Decision Making

ICML 2015poster

Big Data received from sources such as social media, in-stream monitoring systems, networks, and markets is often mined for discovering patterns, detecting anomalies, and making decisions or predictions. In distributed learning and real-time processing of Big Data, ensemble-based systems in which a…

Cited by 4SourcePDFScholar