Signal processing theory and machine learning Volume 1
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
Format : PDF; Waga : 36.9 MB
Series: Academic Press Library in Signal Processing Volume 1
Hardcover: 1088 pages
Publisher: Academic Press
Language: English
ISBN: 978-0123965028