Machine learning in signal processing : applications, challenges and road ahead /

"Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (ML), as the driving force of the wave of Artific...

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Bibliographic Details
Corporate Author: Taylor & Francis
Other Authors: Tanwar, Sudeep (Editor), Nayyar, Anand (Editor), Rameshwar, Rudra (Editor)
Format: eBook
Language:English
Published: Boca Raton, FL : Chapman & Hall/CRC Press, 2022.
Edition:First edition.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Machine Learning in Signal Processing: Applications, Challenges and Road Ahead offers a comprehensive approach towards research orientation for familiarising 'signal processing (SP)' concepts to machine learning (ML). Machine Learning (ML), as the driving force of the wave of Artificial Intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for Machine Learning (ML). The focus is on understanding the contributions of signal processing and ML and its aim to solve some of the Artificial Intelligence (AI) and Machine Learning (ML) challenges"--
Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781003107026
1003107028
9781000487794
1000487792
9781000487817
1000487814