Machine Learning in Signal Processing

Applications, Challenges, and the Road Ahead

By: Sudeep Tanwar (Editor), Anand Nayyar (Editor), Rudra Rameshwar (Editor)

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Hardcover | 22 December 2021 | Edition Number 1

At a Glance

Hardcover
390 Pages

Dimensions(cm)
25.4 x 17.78 x 2.24

Hardcover

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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.

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