Paulo S.R. Diniz – författare

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

Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods References content on core principles, technologies, algorithms and applications Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge

Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc.- Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools- Presents core principles in signal processing theory and shows their applications- Discusses some emerging signal processing tools applied in machine learning methods- References content on core principles, technologies, algorithms and applications- Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge