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Design and Architecture for Signal and Image Processing [electronic resource] : 15th International Workshop, DASIP 2022, Budapest, Hungary, June 20–22, 2022, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 13425Publisher: Cham : Springer International Publishing : Imprint: Springer, 2022Edition: 1st ed. 2022Description: X, 175 p. 53 illus., 48 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031127489
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 621.382 23
LOC classification:
  • TK5102.9
Online resources:
Contents:
Software and Architecture for Telecommunication Systems -- Towards Lightweight Deep-Learning Techniques -- Design Automation and Optimization Techniques for Embedded Hardware and Software -- Optimized Hardware and Software Implementations for Image Processing and Health Applications.
In: Springer Nature eBookSummary: This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems.
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Software and Architecture for Telecommunication Systems -- Towards Lightweight Deep-Learning Techniques -- Design Automation and Optimization Techniques for Embedded Hardware and Software -- Optimized Hardware and Software Implementations for Image Processing and Health Applications.

This book constitutes the thoroughly refereed conference proceedings of the First International Workshop on Design and Architecture for Signal and Image Processing, DASIP 2022, held in Budaypest, Hungary in June 2022. The 13 full included in the volume were carefully reviewed and selected from 32 submissions. They are organized in the following topical sections: leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems.

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