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Machine Learning in Signal Processing

Applications, Challenges, and the Road Ahead

Sudeep Tanwar editor Anand Nayyar editor Rudra Rameshwar editor

Format:Hardback

Publisher:Taylor & Francis Ltd

Published:22nd Dec '21

Currently unavailable, and unfortunately no date known when it will be back

This hardback is available in another edition too:

Machine Learning in Signal Processing cover

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.

ISBN: 9780367618902

Dimensions: unknown

Weight: 852g

374 pages