首页|Findings from University of Basque Country Provide New Insights into Machine Lea rning (Enhancing Channel Estimation In Terrestrial Broadcast Communications Usin g Machine Learning)
Findings from University of Basque Country Provide New Insights into Machine Lea rning (Enhancing Channel Estimation In Terrestrial Broadcast Communications Usin g Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news originating from Bilbao, Spain, by Ne wsRx correspondents, research stated, “Artificial Intelligence (AI) and Machine Learning (ML) approaches have emerged as viable alternatives to conventional Phy sical Layer (PHY) signal processing methods. Specifically, in any wireless point -to-multipoint communication, accurate channel estimation plays a pivotal role i n exploiting spectrum efficiency with functionalities such as higher-order modul ation or full-duplex communication.” Financial supporters for this research include Basque Government, Spanish Govern ment - MCIN/AEI, ERDF A way of making Europe, Project PASSIONATE [CHIST-ERA] - MICIU/AEI, European Union (EU), Institute of Inf ormation and Communications Technology Planning and Evaluation (IITP) Grant - Ko rea Government (MSIT, Development of Transceiver Technology for Terrestrial8K Me dia Broadcast).
BilbaoSpainEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Basque Country
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