{"id":178829,"date":"2023-12-21T23:25:04","date_gmt":"2023-12-22T05:25:04","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/12\/research-team-develops-analog-hardware-solution-for-real-time-compressed-sensing-recovery-in-one-step"},"modified":"2023-12-21T23:25:04","modified_gmt":"2023-12-22T05:25:04","slug":"research-team-develops-analog-hardware-solution-for-real-time-compressed-sensing-recovery-in-one-step","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/12\/research-team-develops-analog-hardware-solution-for-real-time-compressed-sensing-recovery-in-one-step","title":{"rendered":"Research team develops analog hardware solution for real-time compressed sensing recovery in one step"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/research-team-develops-analog-hardware-solution-for-real-time-compressed-sensing-recovery-in-one-step2.jpg\"><\/a><\/p>\n<p>A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, \u201cIn-memory analog solution of compressed sensing recovery in one step\u201d in <a href=\"https:\/\/www.science.org\/doi\/10.1126\/sciadv.adj2908\"><i>Science Advances<\/a><\/i>.<\/p>\n<p>In this work, a design based on a resistive memory (also known as memristor) array for performing instantaneous matrix-matrix-vector multiplication (MMVM) is introduced. Based on this module, an analog matrix computing circuit that solves compressed sensing (CS) <a href=\"https:\/\/techxplore.com\/tags\/recovery\/\" rel=\"tag\" class=\"\">recovery<\/a> in one step (within a few microseconds) is disclosed.<\/p>\n<p>CS has been the cornerstone of modern signal and <a href=\"https:\/\/techxplore.com\/tags\/image+processing\/\" rel=\"tag\" class=\"\">image processing<\/a>, across many important fields such as <a href=\"https:\/\/techxplore.com\/tags\/medical+imaging\/\" rel=\"tag\" class=\"\">medical imaging<\/a>, wireless communications, object tracking, and single-pixel cameras. In CS, sparse signals can be highly undersampled in the front-end sensor, which breaks through the Nyquist rate and thus significantly improving sampling efficiency.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A research team led by Prof. Sun Zhong at Peking University has reported an analog hardware solution for real-time compressed sensing recovery. It has been published as an article titled, \u201cIn-memory analog solution of compressed sensing recovery in one step\u201d in Science Advances. In this work, a design based on a resistive memory (also known [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,1523],"tags":[],"class_list":["post-178829","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-computing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178829","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=178829"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/178829\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=178829"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=178829"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=178829"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}