Signal processing theory and machine learning

✍ Scribed by Diniz, Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa, Sergios Theodoridis

Publisher: Academic Press
Year: 2014
Tongue: English
Leaves: 1519
Series: Academic Press library in signal processing, volume 1
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

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