https://tube.loping.net/videos/watch/5bbc18dc-03cd-4b87-b387-c924e38c8715 I built an X-ray backscatter imaging system that uses compressed sensing to reconstruct full images from random samples. Original inspiration for this project: https://web.archive.org/web/20180630083729/http://www.pyrunner.com/weblog/2016/05/26/compressed-sensing-python/ Github: https://github.com/benkrasnow/Xray_backscatter_compressed_sensing/ Original Applied Science X-ray backscatter video: https://www.youtube.com/watch?v=H7ldYhzKAp4 Github for Source Ray X-ray tube interface documentation: https://github.com/andrewgomella/sri Steve Brunton's introduction to compressed sensing: https://www.youtube.com/watch?v=SbU1pahbbkc Nathan Kutz's video on compressed sensing with live coding: https://www.youtube.com/watch?v=rt5mMEmZHfs Support Applied Science on Patreon: https://www.patreon.com/c/AppliedScience Sun, 12 Jul 2026 09:59:15 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://tube.loping.net https://tube.loping.net/lazy-static/avatars/8a56e488-2120-4649-a417-badf5893657b.png https://tube.loping.net/videos/watch/5bbc18dc-03cd-4b87-b387-c924e38c8715 All rights reserved, unless otherwise specified in the terms specified at https://tube.loping.net/about and potential licenses granted by each content's rightholder.