Titlebook: Low-Power Smart Imagers for Vision-Enabled Sensor Networks; Jorge Fernández-Berni,Ricardo Carmona-Galán,Ángel Book 2012 Springer Science+

本能

Jorge Fernández-Berni,Ricardo Carmona-Galán,Ángel Rodríguez-Vázquezowledge at the level of the humanities or social sciences researcher, who wants to know about the who, what, where, and when, but also the how and the why. At the same time cultural heritage data poses consider978-3-642-26988-2978-3-642-20227-8Series ISSN 2192-032X Series E-ISSN 2192-0338

污点

owledge at the level of the humanities or social sciences researcher, who wants to know about the who, what, where, and when, but also the how and the why. At the same time cultural heritage data poses consider978-3-642-26988-2978-3-642-20227-8Series ISSN 2192-032X Series E-ISSN 2192-0338

小隔间

cloture

Low-Power Smart Imagers for Vision-Enabled Sensor Networks978-1-4614-2392-8

Common-Migraine

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phlegm

辞职

Vision-enabled WSN Nodes: State of the Art,, processing it locally and communicating only the required information resulting from this processing. A remarkable feature is that the exact location of the nodes comprising the network does not need to be predetermined.

Esophagitis

VLSI Implementation of Linear Diffusion,n already explored in the literature. Most of the approaches reported make use of the ability of CMOS processes to integrate signal processing circuitry with pure imaging. Thus, they achieve massively parallel focal-plane processing, delivering the same result as a digital processor but in a much more efficient way.

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