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
Paulo S.R. Diniz & Patrick A. Naylor
Academic Press Library in Signal Processing [EPUB ebook]
Signal Processing Theory and Machine Learning
Academic Press Library in Signal Processing [EPUB ebook]
Signal Processing Theory and Machine Learning
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato EPUB ● ISBN 9780123972262 ● Editor Paulo S.R. Diniz & Patrick A. Naylor ● Editorial Elsevier Science ● Publicado 2013 ● Descargable 6 veces ● Divisa EUR ● ID 5655742 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM