Digital Signal Processing with Kernel Methods
by Jose Luis Rojo-Alvarez, Manel Martinez-Ramon, Jordi Munoz-Mari, Gustau Camps-Valls
About the Authors
José Luis Rojo‐Álvarez received the Telecommunication Engineering degree in 1996 from University of Vigo, Spain, and a PhD in Telecommunication Engineering in 2000 from the Polytechnic University of Madrid, Spain. Since 2016, he has been a full Professor in the Department of Signal Theory and Communications, University Rey Juan Carlos, Madrid, Spain. He has published more than 90 papers in indexed journals and more than 150 international conference communications. He has participated in more than 60 projects (with public and private fundings), and directed more than 10 of them, including several actions in the National Plan for Research and Fundamental Science. He was a senior researcher at the Prometeo program in Ecuador (Army University, 2013 to 2015) and research advisor at the Telecommunication Ministry. In 2016 he received the Rey Juan Carlos University Prize for Talented Researcher.
His main current research interests include statistical learning theory, digital signal processing, and complex system modeling, with applications to cardiac signals and image processing. Specifically, he is committed to the development of new electrocardiographic imaging systems, long‐term cardiac monitoring intelligent systems, and big data for electronic recording and hospital information analysis at large scales.
Manel Martínez‐Ramón received an MsD in Telecommunications Engineering from Universitat Politécnica de Catalunya in 1996, and a PhD in Communications Technologies ...
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