Academic Press Library in Signal Processing

Signal Processing Theory and Machine Learning

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