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

Academic Press Library in Signal Processing, Volume 1: Signal Processing Theory and Machine Learning
Academic Press Library in Signal Processing, Volume 1: Signal Processing Theory and Machine Learning by Paulo S. R. Diniz
English | 2014 | ISBN: 0123965028 | 1480 Pages | PDF | 63 MB

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