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Machine Learning Methods for Signal, Image and Speech Processing

Language EnglishEnglish
Book Paperback
Book Machine Learning Methods for Signal, Image and Speech Processing M.A. Jabbar
Libristo code: 46534594
Publishers River Publishers, October 2024
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence... Full description
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The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and Image analysis. As well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering).

This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests etc. This book focuses on AI utilization in the speech, image, communications and yirtual reality domains.

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About the book

Full name Machine Learning Methods for Signal, Image and Speech Processing
Language English
Binding Book - Paperback
Date of issue 2024
Number of pages 256
EAN 9788770042864
Libristo code 46534594
Publishers River Publishers
Weight 430
Dimensions 156 x 234
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