Signal processing and machine learning theory /

"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, s...

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Bibliographic Details
Corporate Author:	ScienceDirect (Online service)
Other Authors:	Diniz, Paulo Sergio Ramirez, 1956- (Editor)
Format:	eBook
Language:	English
Published:	London ; Cambridge, MA : Academic Press, [2024]
Subjects:	Signal processing. Machine learning. Traitement du signal. Apprentissage automatique. Machine learning Signal processing Aprenentatge automàtic. Programari d'aplicació. Electronic books. Llibres electrònics.
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"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."--Publisher website.
Physical Description:	1 online resource : illustrations
Bibliography:	Includes bibliographical references and index.
ISBN:	9780323972253 032397225X