Academic Press Library in Signal Processing, Volume 1: 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

Key Features

• 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