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Signal processing theory and machine learning
Signal processing theory and machine learning
Diniz, Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa, Sergios Theodoridis
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This first volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in machine learning and advanced signal processing theory.
With this reference source you will:
- Quickly grasp a new area of research
- Understand the underlying principles of a topic and its application
- Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved
- Quick tutorial reviews of important and emerging topics of research in machine learning
- Presents core principles in signal processing theory and shows their applications
- Reference content on core principles, technologies, algorithms and applications
- Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge
- Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Categories:
Year:
2014
Edition:
1
Publisher:
Academic Press
Language:
English
Pages:
li, 1506 pages
ISBN 10:
0123972264
ISBN 13:
9780123972262
ISBN:
978-0-12-396502-8,0123965020,0123972264,9780123972262
Series:
Academic Press library in signal processing, volume 1
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