Machine Learning and Wireless Communications - Rilegato

Rilegato

ISBN 10: 1108832989 ISBN 13: 9781108832984

Casa editrice: Cambridge University Press, 2022

Riassunto

Discover connections between these transformative and impactful technologies, through comprehensive introductions and real-world examples.

Su questo libro

Informazioni sugli autori

Yonina C. Eldar is a professor of Electrical Engineering at the Weizmann Institute of Science, where she heads the Center for Biomedical Engineering and Signal Processing. She is also a visiting professor at MIT and at the Broad Institute, and an adjunct professor at Duke University. She is a member of the Israel Academy of Sciences and Humanities, an IEEE fellow, and a EURASIP fellow.

Andrea Goldsmith is the Dean of Engineering and Applied Science and the Arthur LeGrand Doty Professor of Electrical Engineering at Princeton University. She is a member of the US National Academy of Engineering and the American Academy of Arts and Sciences. In 2020, she received the Marconi Prize.

Deniz Gündüz is a professor of Information Processing in the Electrical and Electronic Engineering Department of Imperial College London in the UK, where he serves as the Deputy Head of the Intelligent Systems and Networks Group. He is also a part-time faculty member at the University of Modena and Reggio Emilia in Italy.

H. Vincent Poor is the Michael Henry Strater University Professor at Princeton University. He is a member of the US National Academy of Engineering and the US National Academy of Sciences. In 2017, he received the IEEE Alexander Graham Bell Medal.

Dettagli dell'edizione

• Editore: Cambridge University Press
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 1108832989
• ISBN 13: 9781108832984
• Rilegatura: Copertina rigida
• Numero di pagine: 554
• Redattore: Eldar Yonina C., Goldsmith Andrea, Gündüz Deniz, Poor H. Vincent
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile