Information-Theoretic Methods in Data Science

Author:   Miguel R. D. Rodrigues (University College London) ,  Yonina C. Eldar (Weizmann Institute of Science, Israel)
Publisher:   Cambridge University Press
ISBN:  

9781108427135


Pages:   560
Publication Date:   08 April 2021
Format:   Hardback
Availability:   In stock   Availability explained
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Information-Theoretic Methods in Data Science


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Author:   Miguel R. D. Rodrigues (University College London) ,  Yonina C. Eldar (Weizmann Institute of Science, Israel)
Publisher:   Cambridge University Press
Imprint:   Cambridge University Press
Dimensions:   Width: 17.60cm , Height: 3.40cm , Length: 25.00cm
Weight:   1.100kg
ISBN:  

9781108427135


ISBN 10:   1108427138
Pages:   560
Publication Date:   08 April 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Miguel R. D. Rodrigues is a Reader in Information Theory and Processing in the Department of Electronic and Electrical Engineering, University College London, and a Faculty Fellow at the Turing Institute, London. Yonina C. Eldar is a Professor in the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science, a Fellow of the IEEE and Eurasip, and a member of the Israel Academy of Sciences and Humanities. She is the author of Sampling Theory (Cambridge, 2015), and co-editor of Convex Optimization in Signal Processing and Communications (Cambridge, 2009), and Compressed Sensing (Cambridge, 2012).

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