Machine Learning Methods for Signal, Image and Speech Processing (River Publishers Series in Signal, Image and Speech Processing)

Jabbar, M.A.; Kantipudi, MVV Prasad; Peng, Sheng-Lung; Reaz, Mamun Bin Ibne; Madureira, Ana Maria

ISBN 10: 8770223696 / ISBN 13: 9788770223690

Verlag: River Publishers, 2021

Beschreibung

Bestandsnummer des Verkäufers I-9788770223690

Bibliografische Details

• Titel: Machine Learning Methods for Signal, Image and Speech Processing (River Publishers Series in Signal, Image and Speech Processing)
• Verlag: River Publishers
• Erscheinungsjahr: 2021
• Sprache: Englisch
• ISBN-10: 8770223696
• ISBN-13: 9788770223690
• Einband: Hardcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

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.

Über die Autorin bzw. den Autor

M.A. Jabbar, MVV Prasad Kantipudi, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira