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Can I read Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning (Volume 1) (Academic Press Library in Signal Processing, Volume 1) on EtoBox?

Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning (Volume 1) (Academic Press Library in Signal Processing, Volume 1) by Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa and Sergios Theodoridis (Eds.) is a nonfiction available to read on EtoBox.

What is Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning (Volume 1) (Academic Press Library in Signal Processing, Volume 1) about?

This first volume of a five volume set, 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

Who reads Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning (Volume 1) (Academic Press Library in Signal Processing, Volume 1)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa and Sergios Theodoridis (Eds.)
Publisher
Elsevier/Academic Press
Published
2014
Language
EN
ISBN
9780123965028
Category
nonfiction
Subjects
Engineering, Stem

Other editions & translations

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