Digital Signal Processing with Kernel Methods-P2P
A realistic and comprehensive review of joint approaches to machine learning and signal processing algorithms, with application to communications, multimedia, and biomedical engineering systems
Digital Signal Processing with Kernel Methods reviews the milestones in the mixing of classical digital signal processing models and advanced kernel machines statistical learning tools. It explains the fundamental concepts from both fields of machine learning and signal processing so that readers can quickly get up to speed in order to begin developing the concepts and application software in their own research.
Wiley IEEE | English | 2018 | ISBN-10: 1118611799 | 672 pages | PDF | 29.03 mb
by José Luis Rojo-Alvarez (Author), Manel Martinez-Ramon (Author), Jordi Muñoz-Marí (Author), Gustau Camps-Valls (Author)
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Digital Signal Processing with Kernel Methods-P2P
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