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Könyv Machine Learning Methods for Signal, Image and Speech Processing M.A. Jabbar

Machine Learning Methods for Signal, Image and Speech Processing

Szerző: M.A. Jabbar, MVV Prasad Kantipudi, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: River Publishers
Elérhetőség: 50 % esély
Keressük az egész világon
21 779 Ft
The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence...

Információk a könyvről

Szerző
M.A. Jabbar, MVV Prasad Kantipudi, Sheng-Lung Peng, Mamun Bin Ibne Reaz, Ana Maria Madureira
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2024
oldal
256
EAN
9788770042864
Enbook ID
46534594
Kiadó
River Publishers
Súly
430
Méretek
156 x 234

Teljes leírás

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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