Academic Press Library in Signal Processing, Volume 1: Signal Processing Theory and Machine Learning

• Author: Sergios Theodoridis
• Language: English
• Publisher: Academic Press; 1 edition (October 21, 2013)
• Pages: 1480
• Size:  37 MB
• Format: pdf
• ISBN-10: 0123965020
• ISBN-13: 978-0123965028

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