Machine Learning in Signal Processing: Applications, Challenges, and the 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). 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 AI and ML challenges. Fully focused on addressing the missing connection between signal processing and ML Provides one-stop guide reference for the readers Oriented towards the material and flow with regard to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete outlet and 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.