{"id":"https://openalex.org/W1493851059","doi":"https://doi.org/10.1109/lsp.2014.2323973","title":"Iterative Recovery of Dense Signals from Incomplete Measurements","display_name":"Iterative Recovery of Dense Signals from Incomplete Measurements","publication_year":2014,"publication_date":"2014-05-14","ids":{"openalex":"https://openalex.org/W1493851059","doi":"https://doi.org/10.1109/lsp.2014.2323973","mag":"1493851059"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2014.2323973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2323973","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077998995","display_name":"Norbert Goertz","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Norbert Goertz","raw_affiliation_strings":["Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047724448","display_name":"Chunli Guo","orcid":"https://orcid.org/0000-0001-5056-7951"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chunli Guo","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","Institute for Digital Communications and with the Joint Research Institute for Signal and Image Processing, University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Institute for Digital Communications and with the Joint Research Institute for Signal and Image Processing, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006624933","display_name":"Alexander Jung","orcid":"https://orcid.org/0000-0001-7538-0990"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alexander Jung","raw_affiliation_strings":["Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057962470","display_name":"Mike E. Davies","orcid":"https://orcid.org/0000-0003-2327-236X"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mike E. Davies","raw_affiliation_strings":["Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","Institute for Digital Communications and with the Joint Research Institute for Signal and Image Processing, University of Edinburgh, Edinburgh, UK"],"affiliations":[{"raw_affiliation_string":"Institute for Digital Communications, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Institute for Digital Communications and with the Joint Research Institute for Signal and Image Processing, University of Edinburgh, Edinburgh, UK","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031717625","display_name":"Gerhard Doblinger","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gerhard Doblinger","raw_affiliation_strings":["Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Telecommunications E389, Vienna University of Technology, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077998995"],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":null,"apc_paid":null,"fwci":0.9461,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72450672,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"21","issue":"9","first_page":"1059","last_page":"1063"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11778","display_name":"Electrical and Bioimpedance Tomography","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6659443378448486},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.6641339063644409},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6553323268890381},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6151957511901855},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5987585783004761},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.512563943862915},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.46138837933540344},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.4559531509876251},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4261590242385864},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26811647415161133},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.16156387329101562},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08237332105636597}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659443378448486},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.6641339063644409},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6553323268890381},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6151957511901855},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5987585783004761},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.512563943862915},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.46138837933540344},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.4559531509876251},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4261590242385864},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26811647415161133},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.16156387329101562},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08237332105636597},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2014.2323973","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2014.2323973","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W143004564","https://openalex.org/W1482610996","https://openalex.org/W1500149156","https://openalex.org/W1986051087","https://openalex.org/W1986554702","https://openalex.org/W1989528283","https://openalex.org/W2018322127","https://openalex.org/W2044762091","https://openalex.org/W2082029531","https://openalex.org/W2135046866","https://openalex.org/W2145096794","https://openalex.org/W2146694142","https://openalex.org/W2146842127","https://openalex.org/W2167077875","https://openalex.org/W2167931879","https://openalex.org/W2296616510","https://openalex.org/W2610971674","https://openalex.org/W2611221451","https://openalex.org/W2963206527","https://openalex.org/W2963322354","https://openalex.org/W2964082107","https://openalex.org/W2965130990","https://openalex.org/W3098848552","https://openalex.org/W3105033759","https://openalex.org/W3124617746","https://openalex.org/W4250955649","https://openalex.org/W6628683843"],"related_works":["https://openalex.org/W2953058328","https://openalex.org/W1542224353","https://openalex.org/W1661087619","https://openalex.org/W2750730210","https://openalex.org/W2116854923","https://openalex.org/W2236974868","https://openalex.org/W4312766348","https://openalex.org/W2158224665","https://openalex.org/W2730764323","https://openalex.org/W4233939244"],"abstract_inverted_index":{"Within":[0],"the":[1,26,31,37],"framework":[2],"of":[3,28,33,60],"compressed":[4],"sensing,":[5],"we":[6],"consider":[7],"dense":[8,39],"signals,":[9],"which":[10],"contain":[11],"both":[12],"discrete":[13],"as":[14,16],"well":[15],"continuous-amplitude":[17],"components.":[18],"We":[19],"demonstrate":[20],"by":[21,49,56],"a":[22,81],"comprehensive":[23],"numerical":[24],"study\u2013to":[25],"best":[27],"our":[29],"knowledge":[30],"first":[32],"its":[34],"kind":[35],"in":[36,89],"literature\u2013that":[38],"signals":[40],"can":[41],"be":[42],"recovered":[43],"from":[44],"noisy,":[45],"incomplete":[46],"linear":[47],"measurements":[48],"simple":[50],"iterative":[51,65],"algorithms":[52,66,74],"that":[53,86],"are":[54,58,67],"inspired":[55],"or":[57],"implementations":[59],"approximate":[61],"message":[62],"passing.":[63],"Those":[64],"shown":[68],"to":[69],"significantly":[70],"outperform":[71],"all":[72],"other":[73],"presented":[75],"so":[76],"far,":[77],"when":[78],"they":[79],"use":[80],"novel":[82],"noise-adaptive":[83],"thresholding":[84],"function":[85],"is":[87],"proposed":[88],"this":[90],"contribution.":[91]},"counts_by_year":[{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}