{"id":"https://openalex.org/W2221467450","doi":"https://doi.org/10.1186/s13634-015-0281-3","title":"Cosparsity-based Stagewise Matching Pursuit algorithm for reconstruction of the cosparse signals","display_name":"Cosparsity-based Stagewise Matching Pursuit algorithm for reconstruction of the cosparse signals","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2221467450","doi":"https://doi.org/10.1186/s13634-015-0281-3","mag":"2221467450"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-015-0281-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0281-3","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0281-3.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0281-3.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101923041","display_name":"Di Wu","orcid":"https://orcid.org/0000-0002-3350-1640"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Wu","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100542941","display_name":"Yuxin Zhao","orcid":"https://orcid.org/0009-0000-3454-4741"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxin Zhao","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100676721","display_name":"Wenwu Wang","orcid":"https://orcid.org/0000-0002-8393-5703"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenwu Wang","raw_affiliation_strings":["Department of Electronic Engineering, University of Surrey, Guildford, GU2 7XH, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, University of Surrey, Guildford, GU2 7XH, UK","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100298039","display_name":"Yanling Hao","orcid":"https://orcid.org/0000-0003-4052-8523"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanling Hao","raw_affiliation_strings":["College of Automation, Harbin Engineering University, Harbin, 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University, Harbin, 150001, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100542941"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":{"value":1665,"currency":"USD","value_usd":1665},"apc_paid":{"value":1665,"currency":"USD","value_usd":1665},"fwci":0.2895,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.61165602,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2015","issue":"1","first_page":null,"last_page":null},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/matching-pursuit","display_name":"Matching pursuit","score":0.9672621488571167},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.6465146541595459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6329176425933838},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6132883429527283},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6027689576148987},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.5987862944602966},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5915955901145935},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5823326110839844},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5710068345069885},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5461623668670654},{"id":"https://openalex.org/keywords/relaxation","display_name":"Relaxation (psychology)","score":0.4942190945148468},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.49093297123908997},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.47699788212776184},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41809773445129395},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4141700267791748},{"id":"https://openalex.org/keywords/signal-subspace","display_name":"Signal subspace","score":0.4121098220348358},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39054369926452637},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38126569986343384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34028393030166626},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.29729342460632324},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.11475750803947449},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.10454747080802917}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9672621488571167},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.6465146541595459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6329176425933838},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6132883429527283},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6027689576148987},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5987862944602966},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5915955901145935},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5823326110839844},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5710068345069885},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5461623668670654},{"id":"https://openalex.org/C2776029896","wikidata":"https://www.wikidata.org/wiki/Q3935810","display_name":"Relaxation (psychology)","level":2,"score":0.4942190945148468},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.49093297123908997},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.47699788212776184},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41809773445129395},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4141700267791748},{"id":"https://openalex.org/C2777121530","wikidata":"https://www.wikidata.org/wiki/Q7512739","display_name":"Signal subspace","level":4,"score":0.4121098220348358},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39054369926452637},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38126569986343384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34028393030166626},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.29729342460632324},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.11475750803947449},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.10454747080802917},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1186/s13634-015-0281-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0281-3","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0281-3.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1186/s13634-015-0281-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-015-0281-3","pdf_url":"https://link.springer.com/content/pdf/10.1186/s13634-015-0281-3.pdf","source":{"id":"https://openalex.org/S35920007","display_name":"EURASIP Journal on Advances in Signal Processing","issn_l":"1110-8657","issn":["1110-8657","1687-0433","1687-6172","1687-6180"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Advances in Signal Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G1877392020","display_name":null,"funder_award_id":"EP/K014307/1","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4845532791","display_name":null,"funder_award_id":"51379049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5923144259","display_name":null,"funder_award_id":"EP/K014307/2","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6143932528","display_name":null,"funder_award_id":"EP/K014307","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G6485023388","display_name":"Signal Processing Solutions for the Networked Battlespace","funder_award_id":"EP/K014307/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G7219166536","display_name":null,"funder_award_id":"EP/K014307/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2221467450.pdf","grobid_xml":"https://content.openalex.org/works/W2221467450.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1683055085","https://openalex.org/W1976709621","https://openalex.org/W1977520307","https://openalex.org/W1986931325","https://openalex.org/W2019467446","https://openalex.org/W2028918626","https://openalex.org/W2053821953","https://openalex.org/W2100037283","https://openalex.org/W2103955025","https://openalex.org/W2107059427","https://openalex.org/W2107844156","https://openalex.org/W2128659236","https://openalex.org/W2142211803","https://openalex.org/W2143731537","https://openalex.org/W2152171106","https://openalex.org/W2164149267","https://openalex.org/W2289917018","https://openalex.org/W2330096470","https://openalex.org/W2963322354","https://openalex.org/W2964085947","https://openalex.org/W3023198849","https://openalex.org/W3099751318"],"related_works":["https://openalex.org/W2388133936","https://openalex.org/W2067878805","https://openalex.org/W1992008660","https://openalex.org/W2116148865","https://openalex.org/W1983115982","https://openalex.org/W2086419783","https://openalex.org/W2160547390","https://openalex.org/W59030693","https://openalex.org/W2523302315","https://openalex.org/W1998873033"],"abstract_inverted_index":{"The":[0],"cosparse":[1],"analysis":[2,33,41],"model":[3,29,42],"has":[4],"been":[5,51],"introduced":[6],"as":[7,32,54],"an":[8,37],"interesting":[9],"alternative":[10],"to":[11,27,159],"the":[12,55,66,69,85,88,105,108,113,119,122,125,128,134,141,145,151,154,162],"standard":[13],"sparse":[14,44],"synthesis":[15],"model.":[16],"Given":[17],"a":[18,24,74,95,132],"set":[19],"of":[20,68,87,99,121,144,153,161,182],"corrupted":[21],"measurements,":[22],"finding":[23],"signal":[25,90,114,126,136],"belonging":[26],"this":[28],"is":[30,36,91,110,115,157],"known":[31],"pursuit,":[34],"which":[35],"important":[38],"problem":[39],"in":[40,127,175,187],"based":[43,57,64],"representation.":[45],"Several":[46],"pursuit":[47],"methods":[48,56],"have":[49],"already":[50],"proposed,":[52],"such":[53],"on":[58,65],"l":[59,163],"1-relaxation":[60,164],"and":[61,101,112,124,165,178],"greedy":[62],"approaches":[63],"cosparsity":[67,86,109,123,146],"signal.":[70],"This":[71],"paper":[72],"presents":[73],"novel":[75],"greedy-like":[76],"algorithm,":[77],"called":[78],"Cosparsity-based":[79],"Stagewise":[80],"Matching":[81,172],"Pursuit":[82,168,173,185],"(CSMP),":[83],"where":[84],"target":[89,135],"estimated":[92,111],"adaptively":[93],"with":[94],"stagewise":[96],"approach":[97],"composed":[98],"forward":[100,106],"backward":[102,129],"processes.":[103],"In":[104],"process,":[107],"approximated,":[116],"followed":[117],"by":[118],"refinement":[120],"process.":[130],"As":[131],"result,":[133],"can":[137],"be":[138],"reconstructed":[139],"without":[140],"prior":[142],"information":[143],"level.":[147],"Experiments":[148],"show":[149],"that":[150,181],"performance":[152],"proposed":[155],"algorithm":[156],"comparable":[158],"those":[160],"Analysis":[166,184],"Subspace":[167],"(ASP)/Analysis":[169],"Compressive":[170],"Sampling":[171],"(ACoSaMP)":[174],"noiseless":[176],"case":[177],"better":[179],"than":[180],"Greedy":[183],"(GAP)":[186],"noisy":[188],"case.":[189]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}