Real-time embedded computing for signal and image processing:
This tutorial presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent tren...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch Video |
| Sprache: | English |
| Veröffentlicht: |
United States
IEEE
2005
|
| Schlagworte: | |
| Online-Zugang: | FHN01 TUM01 |
| Zusammenfassung: | This tutorial presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent trends. After completing this course you should be able to develop an understanding of: Generic Phased-Array Architecture, Real-Time Embedded Computing Implementation Options, and Trends and Advanced Techniques |
| Beschreibung: | Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 10, 2020) |
| Beschreibung: | 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations |
| ISBN: | 9780780396609 |
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Datensatz im Suchindex
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| isbn | 9780780396609 |
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| spelling | Martinez, David Verfasser aut Real-time embedded computing for signal and image processing David Martinez United States IEEE 2005 1 Online-Resource (1 Videodatei, 60 Minuten) color illustrations tdi rdacontent c rdamedia cr rdacarrier Description based on online resource; title from title screen (IEEE Xplore Digital Library, viewed November 10, 2020) This tutorial presents an overview of the current developments in the field of embedded computing drawing from signal and image processing applications. The module reviews computing complexity drivers, implementation approaches in hardware and software, and concludes with a discussion on recent trends. After completing this course you should be able to develop an understanding of: Generic Phased-Array Architecture, Real-Time Embedded Computing Implementation Options, and Trends and Advanced Techniques Computer architecture Embedded computer systems (DE-588)4017102-4 Film gnd-content |
| spellingShingle | Martinez, David Real-time embedded computing for signal and image processing Computer architecture Embedded computer systems |
| subject_GND | (DE-588)4017102-4 |
| title | Real-time embedded computing for signal and image processing |
| title_auth | Real-time embedded computing for signal and image processing |
| title_exact_search | Real-time embedded computing for signal and image processing |
| title_exact_search_txtP | Real-time embedded computing for signal and image processing |
| title_full | Real-time embedded computing for signal and image processing David Martinez |
| title_fullStr | Real-time embedded computing for signal and image processing David Martinez |
| title_full_unstemmed | Real-time embedded computing for signal and image processing David Martinez |
| title_short | Real-time embedded computing for signal and image processing |
| title_sort | real time embedded computing for signal and image processing |
| topic | Computer architecture Embedded computer systems |
| topic_facet | Computer architecture Embedded computer systems Film |
| work_keys_str_mv | AT martinezdavid realtimeembeddedcomputingforsignalandimageprocessing |