Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). 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 ML.The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.
Anand Nayyar & Rudra Rameshwar
Machine Learning in Signal Processing [PDF ebook]
Applications, Challenges, and the Road Ahead
Machine Learning in Signal Processing [PDF ebook]
Applications, Challenges, and the Road Ahead
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Langue Anglais ● Format PDF ● Pages 388 ● ISBN 9781000487794 ● Éditeur Anand Nayyar & Rudra Rameshwar ● Maison d’édition CRC Press ● Publié 2021 ● Téléchargeable 3 fois ● Devise EUR ● ID 8173405 ● Protection contre la copie Adobe DRM
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