{"id":"https://openalex.org/W2806946907","doi":"https://doi.org/10.1109/access.2018.2842072","title":"Improved Sufficient Conditions for Support Recovery of Sparse Signals Via Orthogonal Matching Pursuit","display_name":"Improved Sufficient Conditions for Support Recovery of Sparse Signals Via Orthogonal Matching Pursuit","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2806946907","doi":"https://doi.org/10.1109/access.2018.2842072","mag":"2806946907"},"language":"en","primary_location":{"id":"doi:10.1109/access.2018.2842072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2018.2842072","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037500945","display_name":"Xiaolun Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaolun Cai","raw_affiliation_strings":["School of Mathematics, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004913173","display_name":"Zhengchun Zhou","orcid":"https://orcid.org/0000-0002-0228-7119"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengchun Zhou","raw_affiliation_strings":["School of Mathematics, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397622","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5241-5203"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["School of Mathematics, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052330166","display_name":"Yong Wang","orcid":"https://orcid.org/0000-0002-5247-043X"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Physical Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037500945"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.4187,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78927788,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"6","issue":null,"first_page":"30437","last_page":"30443"},"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.9994999766349792,"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":0.9874945282936096},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.757408857345581},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.6387791633605957},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.6253737211227417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5979375839233398},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.5838659405708313},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5628174543380737},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5125174522399902},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5114342570304871},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4754354953765869},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.47045934200286865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4655481278896332},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.43367016315460205},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4257684350013733},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3523058295249939},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34273457527160645},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.2719913125038147},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09693065285682678},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07067564129829407},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06065768003463745}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9874945282936096},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.757408857345581},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.6387791633605957},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.6253737211227417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5979375839233398},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.5838659405708313},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5628174543380737},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5125174522399902},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5114342570304871},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4754354953765869},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.47045934200286865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4655481278896332},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.43367016315460205},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4257684350013733},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3523058295249939},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34273457527160645},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.2719913125038147},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09693065285682678},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07067564129829407},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06065768003463745},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2018.2842072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b4527ac4ba234e4c8250b11abe5b7d60","is_oa":true,"landing_page_url":"https://doaj.org/article/b4527ac4ba234e4c8250b11abe5b7d60","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 6, Pp 30437-30443 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2018.2842072","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2018.2842072","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3316746206","display_name":null,"funder_award_id":"61661146003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1557195970","https://openalex.org/W1974198688","https://openalex.org/W1975983932","https://openalex.org/W1988451630","https://openalex.org/W1988529089","https://openalex.org/W2017890892","https://openalex.org/W2018324106","https://openalex.org/W2034260606","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2129131372","https://openalex.org/W2134474909","https://openalex.org/W2140856955","https://openalex.org/W2160979406","https://openalex.org/W2164452299","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2557873547","https://openalex.org/W2963275613","https://openalex.org/W2963404325","https://openalex.org/W2964333607","https://openalex.org/W3105340263","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2388133936","https://openalex.org/W2067878805","https://openalex.org/W1992008660","https://openalex.org/W2116148865","https://openalex.org/W4243379378","https://openalex.org/W1983115982","https://openalex.org/W2086419783","https://openalex.org/W2160547390","https://openalex.org/W2381127329","https://openalex.org/W59030693"],"abstract_inverted_index":{"The":[0,33],"orthogonal":[1],"matching":[2],"pursuit":[3],"(OMP)":[4],"algorithm":[5,10],"is":[6,38],"a":[7,52],"standard":[8],"greedy":[9],"in":[11,29],"the":[12,30,67,82,90,108],"context":[13],"of":[14,35,46,55,70,73,84],"compressed":[15],"sensing.":[16],"Due":[17],"to":[18,39],"its":[19],"high":[20],"efficiency":[21],"and":[22,96],"effectiveness,":[23],"OMP":[24,50,78],"has":[25],"drawn":[26],"much":[27,103],"attention":[28],"recent":[31],"decade.":[32],"goal":[34],"this":[36],"paper":[37],"study":[40],"different":[41],"conditions":[42,65,101],"for":[43,58],"stable":[44],"recovery":[45],"sparse":[47,74,85],"signals":[48,75,86],"with":[49,107],"from":[51],"limited":[53],"number":[54],"linear":[56],"measurements":[57],"noisy":[59],"signals.":[60],"Specifically,":[61],"two":[62],"new":[63],"sufficient":[64],"on":[66],"minimum":[68],"magnitude":[69],"nonzero":[71],"elements":[72],"under":[76,89],"which":[77],"can":[79],"precisely":[80],"recover":[81],"support":[83],"are":[87,102],"presented":[88],"1":[91],"<sub":[92],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221e</sub>":[94],"-Gaussian":[95],"bounded":[97],"noise,":[98],"respectively.":[99],"Our":[100],"weaker":[104],"when":[105],"compared":[106],"existing":[109],"ones.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
