Academic Press Library in Signal Processing

Signal Processing Theory and Machine Learning de

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Éditeur :

Academic Press


Paru le : 2013-09-21

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Description
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
Pages
1480 pages
Collection
n.c
Parution
2013-09-21
Marque
Academic Press
EAN papier
9780123965028
EAN EPUB SANS DRM
9780123972262

Informations sur l'ebook
Prix
237,38 €

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