Diniz / Naylor / Suykens Academic Press Library in Signal Processing

Signal Processing Theory and Machine Learning
1. Auflage 2013
ISBN: 978-0-12-397226-2
Verlag: Elsevier Science & Techn.
Format: EPUB
Kopierschutz: 6 - ePub Watermark

E-Book, Englisch, Band Volume 1, 1480 Seiten

Reihe: Academic Press Library in Signal Processing

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

Autoren/Hrsg.

Diniz, Paulo S. R.

Naylor, Patrick A.

Suykens, Johan