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Tensor-Based Efficient Multi-Interferer RFI Excision: Results Using Real-World Data

Title Tensor-Based Efficient Multi-Interferer RFI Excision : Results Using Real-World Data
Publication type Peer-reviewed conference article
Year of publication 2018
Authors Getu, T. M., Yeste-Ojeda, O. A., Ajib, W., Landry, R. Jr
Full names of the authors Tilahun Melkamu Getu, Omar A. Yeste-Ojeda, Wessam Ajib, René Jr Landry
Conference Int. Conf. on Computing, Networking and Commun (ICNC 2018)
Page numbers 917-921
Date 5-8 Mar., 2018
Place Maui, HI, USA
Award(s) [2018 ETS Dean Scholarship]
URL https://lassena.etsmtl.ca/spip.php?article1865
Documents PDF
Date of first entry September 2017
Date of last update August 2018
Publication

Getu, T. M., Yeste-Ojeda, O. A., Ajib, W., Landry, R. Jr, « Tensor-Based Efficient Multi-Interferer RFI Excision: Results Using Real-World Data », Int. Conf. on Computing, Networking and Commun (ICNC 2018), Maui, HI, USA, pp. 917-921, 5-8 Mar., 2018. [2018 ETS Dean Scholarship]


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