Low-powers smart imagers for vision-enabled sensor networks
Jorge Fernandez-Berni, Ricardo Carmona-Galan, Angel Rodriguez-Vazquez ([, Springer], 2012)
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This book presents a comprehensive, systematic approach to the development of vision system architectures that employ sensory-processing concurrency and parallel processing to meet the autonomy challenges posed by a variety of safety and surveillance applications. Coverage includes a thorough analysis of resistive diffusion networks embedded within an image sensor array. This analysis supports a systematic approach to the design of spatial image filters and their implementation as vision chips in CMOS technology. The book also addresses system-level considerations pertaining to the embedding of these vision chips into vision-enabled wireless sensor networks.Describes a system-level approach for designing of vision devices and embedding them into vision-enabled, wireless sensor networks, surveys state-of-the-art, vision-enabled WSN nodes, Includes details of specifications and challenges of vision-enabled WSNs, ixplains architectures for low-energy CMOS vision chips with embedded, programmable spatial filtering capabilities, includes considerations pertaining to the integration of vision chips into off-the-shelf WSN platforms. |
Low Power Design with High-Level Power Estimation and Power-Aware Synthesis.pdf :: Unduh
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No. Panggil : | e20418235 |
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Penerbitan : | New York: [, Springer], 2012 |
Sumber Pengatalogan: | LibUI eng rda |
Tipe Konten: | text |
Tipe Media: | computer |
Tipe Pembawa: | online resource |
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Tautan: | http://link.springer.com/book/10.1007%2F978-1-4614-2392-8 |
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No. Panggil | No. Barkod | Ketersediaan |
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e20418235 | TERSEDIA |
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