Managing a smart city
US-11956644-B2 · Apr 9, 2024 · US
US9268016B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9268016-B2 |
| Application number | US-201313891165-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 9, 2013 |
| Priority date | May 9, 2012 |
| Publication date | Feb 23, 2016 |
| Grant date | Feb 23, 2016 |
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Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.
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What is claimed: 1. A method, comprising: illuminating a scene with a set of illumination field patterns corresponding to a set of measurement frequencies; observing the illuminated scene with a set of measurement field patterns corresponding to the set of measurement frequencies; and reconstructing an image of the observed scene using a compressive imaging algorithm; where the set of illumination field patterns or the set of measurement field patterns is a set of field patt…
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