{"id":"https://openalex.org/W2160536217","doi":"https://doi.org/10.1109/jstsp.2009.2039173","title":"A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework","display_name":"A Stochastic Gradient Approach on Compressive Sensing Signal Reconstruction Based on Adaptive Filtering Framework","publication_year":2010,"publication_date":"2010-03-01","ids":{"openalex":"https://openalex.org/W2160536217","doi":"https://doi.org/10.1109/jstsp.2009.2039173","mag":"2160536217"},"language":"en","primary_location":{"id":"doi:10.1109/jstsp.2009.2039173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2009.2039173","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1303.2257","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101678706","display_name":"Jian Jin","orcid":"https://orcid.org/0000-0003-4250-1519"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Jin","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100621681","display_name":"Yuantao Gu","orcid":"https://orcid.org/0000-0002-8427-1021"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuantao Gu","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102142175","display_name":"Shunliang Mei","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunliang Mei","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":14.4081,"has_fulltext":false,"cited_by_count":165,"citation_normalized_percentile":{"value":0.9939387,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"4","issue":"2","first_page":"409","last_page":"420"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":1.0,"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":1.0,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9994999766349792,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6137908101081848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5136075019836426},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46051254868507385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41511741280555725}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6137908101081848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5136075019836426},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46051254868507385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41511741280555725}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/jstsp.2009.2039173","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jstsp.2009.2039173","pdf_url":null,"source":{"id":"https://openalex.org/S42167783","display_name":"IEEE Journal of Selected Topics in Signal Processing","issn_l":"1932-4553","issn":["1932-4553","1941-0484"],"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 Journal of Selected Topics in Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1303.2257","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1303.2257","pdf_url":"https://arxiv.org/pdf/1303.2257","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1303.2257","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1303.2257","pdf_url":"https://arxiv.org/pdf/1303.2257","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W1492221128","https://openalex.org/W1527917680","https://openalex.org/W1986931325","https://openalex.org/W1996287810","https://openalex.org/W2005082281","https://openalex.org/W2019789878","https://openalex.org/W2039957107","https://openalex.org/W2056636001","https://openalex.org/W2062102668","https://openalex.org/W2063978378","https://openalex.org/W2078204800","https://openalex.org/W2095978736","https://openalex.org/W2096943642","https://openalex.org/W2097897435","https://openalex.org/W2098012923","https://openalex.org/W2101675075","https://openalex.org/W2101932199","https://openalex.org/W2104266187","https://openalex.org/W2109449402","https://openalex.org/W2115706991","https://openalex.org/W2119883478","https://openalex.org/W2122315118","https://openalex.org/W2124225314","https://openalex.org/W2126607811","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2135046866","https://openalex.org/W2136660391","https://openalex.org/W2143643945","https://openalex.org/W2145096794","https://openalex.org/W2146482778","https://openalex.org/W2157434051","https://openalex.org/W2163989778","https://openalex.org/W2167577940","https://openalex.org/W2168745297","https://openalex.org/W2289917018","https://openalex.org/W2293909378","https://openalex.org/W2296616510","https://openalex.org/W2533057217","https://openalex.org/W2610805269","https://openalex.org/W2618327255","https://openalex.org/W2949379925","https://openalex.org/W2952296444","https://openalex.org/W2954811775","https://openalex.org/W2963322354","https://openalex.org/W3017068026","https://openalex.org/W3099579977","https://openalex.org/W3145321633","https://openalex.org/W3216584063","https://openalex.org/W4250955649","https://openalex.org/W4285719527","https://openalex.org/W4291236916","https://openalex.org/W4292027056","https://openalex.org/W6631772773","https://openalex.org/W6678356451","https://openalex.org/W6680156768","https://openalex.org/W6681413097","https://openalex.org/W6738013392"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2158224665","https://openalex.org/W2051487156","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2073681303","https://openalex.org/W2358292267"],"abstract_inverted_index":{"Based":[0],"on":[1],"the":[2,46,100,125,130,170,179],"methodological":[3],"similarity":[4],"between":[5],"sparse":[6,16,47],"signal":[7,17,48],"reconstruction":[8,18,49],"and":[9,75],"system":[10,42],"identification,":[11,43],"a":[12,31,103,113],"new":[13],"approach":[14,29],"for":[15,54,174],"in":[19,25,41],"compressive":[20],"sensing":[21],"(CS)":[22],"is":[23,38,155],"proposed":[24,134,180],"this":[26,55,175],"paper.":[27],"This":[28],"employs":[30],"stochastic":[32],"gradient-based":[33],"adaptive":[34],"filtering":[35],"framework,":[36],"which":[37,107,158],"commonly":[39],"used":[40],"to":[44],"solve":[45],"problem.":[50,176],"Two":[51],"typical":[52],"algorithms":[53,101,173],"problem:":[56],"<i":[57,67,76,87,117,137,147],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[58,61,68,71,77,80,88,91,118,121,138,141,148,151],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">l</i>":[59,69,78,89,119,139,149],"<sub":[60,70,79,90,120,140,150],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[62,72,81,92,122,142,152],"-least":[63],"mean":[64],"square":[65],"(":[66,86,146],"-LMS)":[73],"algorithm":[74,94,154],"-exponentially":[82],"forgetting":[83],"window":[84],"LMS":[85],"-EFWLMS)":[93],"are":[95,189],"hence":[96],"introduced":[97],"here.":[98],"Both":[99],"utilize":[102],"zero":[104],"attraction":[105,144],"method,":[106],"has":[108,159],"been":[109],"implemented":[110],"by":[111,191],"minimizing":[112],"continuous":[114],"approximation":[115],"of":[116,124,132,178],"norm":[123],"studied":[126],"signal.":[127],"To":[128],"improve":[129],"performances":[131],"these":[133],"algorithms,":[135],"an":[136],"-zero":[143],"projection":[145],"-ZAP)":[153],"also":[156],"adopted,":[157],"effectively":[160],"accelerated":[161],"their":[162],"convergence":[163],"rates,":[164],"making":[165],"them":[166],"much":[167],"faster":[168],"than":[169],"other":[171],"existing":[172],"Advantages":[177],"approach,":[181],"such":[182],"as":[183],"its":[184],"robustness":[185],"against":[186],"noise,":[187],"etc.,":[188],"demonstrated":[190],"numerical":[192],"experiments.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":15},{"year":2015,"cited_by_count":9},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":23},{"year":2012,"cited_by_count":10}],"updated_date":"2026-07-03T08:13:44.112507","created_date":"2025-10-10T00:00:00"}