Machine Learning in Signal Processing Applications, Challenges, and the Road Ahead
“Machine Learning in Signal Processing Applications, Challenges, and the Road Ahead” by Sudeep Tanwar, published by Chapman & Hall/CRC Press in December 2021, spans 374 pages and is presented in English. This book offers a comprehensive approach to integrating signal processing concepts with machine learning, focusing on the applications and challenges that arise in this interdisciplinary field.
Readers will find a detailed exploration of how machine learning techniques can be applied to signal processing, along with discussions on the challenges faced in this integration. The text delves into various aspects of computer engineering and automation, providing insights into the future directions of this evolving area. This edition serves as a valuable resource for those interested in the intersection of technology and engineering, particularly in the context of signals and signal processing.
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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).
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