{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T09:30:22Z","timestamp":1769074222690,"version":"3.49.0"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,2,1]],"date-time":"2020-02-01T00:00:00Z","timestamp":1580515200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61731006"],"award-info":[{"award-number":["61731006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61671138"],"award-info":[{"award-number":["61671138"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013314","name":"Higher Education Discipline Innovation Project","doi-asserted-by":"publisher","award":["B17008"],"award-info":[{"award-number":["B17008"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Emerg. Top. Comput. Intell."],"published-print":{"date-parts":[[2020,2]]},"DOI":"10.1109\/tetci.2019.2902426","type":"journal-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T22:07:03Z","timestamp":1579903623000},"page":"74-82","source":"Crossref","is-referenced-by-count":15,"title":["Soil PH Measurement Based on Compressive Sensing and Deep Image Prior"],"prefix":"10.1109","volume":"4","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5609-7276","authenticated-orcid":false,"given":"Jie","family":"Ren","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0860-6563","authenticated-orcid":false,"given":"Jing","family":"Liang","sequence":"additional","affiliation":[]},{"given":"Yuanyuan","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/T-C.1974.223784"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203450","article-title":"function approximation; a gradient boosting machine","volume":"29","author":"greedy","year":"2001","journal-title":"Annals Statist"},{"key":"ref31","first-page":"1","article-title":"Semi-supervised learning with ladder network","volume":"9","author":"rasmus","year":"2015","journal-title":"Comput Sci"},{"key":"ref30","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"radford","year":"2015"},{"key":"ref36","first-page":"40411","article-title":"Sub-nyquist spectrum sensing based on modulated wideband converter in cognitive radio sensor networks","author":"xue","year":"2018","journal-title":"IEEE Access"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"96","DOI":"10.1109\/MWC.2016.1500108WC","article-title":"Broadband hybrid satellite-terrestrial communication systems based on cognitive radio toward 5G","volume":"23","author":"min","year":"2016","journal-title":"IEEE Wireless Commun"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2761910"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1989.1.4.541"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref13","article-title":"NIPS 2016 tutorial: Generative adversarial networks","author":"goodfellow","year":"2017"},{"key":"ref14","first-page":"51","article-title":"Application of convolutional neural network in vaccinated egg classification","volume":"38","author":"mingshuai","year":"2018","journal-title":"J Tianjin Normal Univ (Natural Sci Ed )"},{"key":"ref15","article-title":"Compressed sensing using generative models","author":"bora","year":"2017"},{"key":"ref16","article-title":"Compressed sensing with deep image prior and learned regularization","author":"veen","year":"2018"},{"key":"ref17","article-title":"Correction by projection: Denoising images with generative adversarial networks","author":"tripathi","year":"2018"},{"key":"ref18","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v32i1.11883","article-title":"Task-aware compressed sensing with generative adversarial networks","author":"kabkab","year":"2018"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462233"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.178"},{"key":"ref4","first-page":"58","article-title":"Design and implementation of an ultra-wideband high-accuracy ranging system","volume":"37","author":"shaolin","year":"2017","journal-title":"J Tianjin Normal Univ (Natural Sci Ed )"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1113\/jphysiol.1959.sp006308"},{"key":"ref3","first-page":"1175","article-title":"Compressive sensing in UWB echoes","author":"ren","year":"2017","journal-title":"Proc Int Conf Signal Process Commun"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2014.08.005"},{"key":"ref29","article-title":"Deep image prior","author":"ulyanov","year":"2017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2010.2040894"},{"key":"ref8","first-page":"641","article-title":"Random projections for manifold learning","author":"hegde","year":"0","journal-title":"Proc 20th Int Conf Neural Inf Process Syst"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2012.2210860"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.914731"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/BF00344251"},{"key":"ref1","first-page":"62","article-title":"Research and application of wireless intelligent network monitoring smog system based on STM32F407","volume":"37","author":"jincheng","year":"2017","journal-title":"J Tianjin Normal Univ (Natural Sci Ed )"},{"key":"ref20","article-title":"Solving bilinear inverse problems using deep generative priors","author":"asim","year":"2018"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2007.4286571"},{"key":"ref21","first-page":"50","article-title":"Through wall human detection based on stacked denoising autoencoder algorithm","volume":"37","author":"wei","year":"2017","journal-title":"J Tianjin Normal Univ (Natural Sci Ed )"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1561\/0400000002"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2005.858979"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/34.192463"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1137\/S1064827596304010"}],"container-title":["IEEE Transactions on Emerging Topics in Computational Intelligence"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7433297\/8964514\/08968714.pdf?arnumber=8968714","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,12]],"date-time":"2022-10-12T21:23:06Z","timestamp":1665609786000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8968714\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2]]},"references-count":36,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tetci.2019.2902426","relation":{},"ISSN":["2471-285X"],"issn-type":[{"value":"2471-285X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,2]]}}}