Academic Press Library in Signal Processing Signal Processing Theory and Machine Learning |
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Editor-In-Chief:
| Theodoridis, Sergios Chellappa, Rama |
Editor:
| Diniz, Paulo S. R. Naylor, Patrick A. Suykens, Johan |
Series title: | Issn Ser. |
ISBN: | 978-0-12-397226-2 |
Publication Date: | Sep 2013 |
Publisher: | Elsevier Science & Technology Books
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Book Format: | Ebook |
List Price: | USD $295.00USD $354.00 |
Book Description:
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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...
More 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