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Radio resource management / Engineering / Cognitive radio / Telecommunications engineering / International nongovernmental organizations / Institute of Electrical and Electronics Engineers / Radio spectrum / Technology / Wireless networking / Radio technology


Wideband Spectrum Sensing and Signal Classification for Autonomous Self-Learning Cognitive Radios by
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Document Date: 2013-11-25 15:30:54


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File Size: 2,34 MB

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City

Chiangmai / Budapest / Ottawa / Newark / Cancun / /

Company

Pearson / Centralized Cognitive Radio Networks / Bentham Science Publishers Ltd. / /

Country

Thailand / Hungary / Canada / Mexico / /

Facility

Lebanese American University / Philosophy Electrical Engineering The University of New Mexico Albuquerque / University of New Mexico / /

IndustryTerm

wideband energy detector / low processing cost / cognitive radio networks / wireless systems / cognitive radio applications / Wireless Communications / cooperative communications / joint energy/cyclostationary detection / signal processing / cooperative cognitive radio networks / /

Organization

Lebanese American University / Chaouki T. Abdallah Department / University of New Mexico / University of New Mexico Albuquerque / Guoyi Zhang Department of Mathematics and Statistics / International Criminal Court / Sudharman K. Jayaweera Department / /

Person

Christos G. Christodoulou / Sudharman K. Jayaweera / Guoyi Zhang / Abraham Lincoln / Mario Bkassiny / Chaouki T. Abdallah / Mario Bkassiny iv / /

Position

Supervisor / advisor / Professor / Professor / advisor / /

ProvinceOrState

New Jersey / New Mexico / /

PublishedMedium

IEEE Wireless Communications / /

Technology

Lowcomplexity Algorithms / Sequential Bayesian Non-parametric Signal Classification Algorithms / Wireless Communications / radio frequency / machine learning / DSL / /

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