{"id":"https://openalex.org/W3013471751","doi":"https://doi.org/10.1186/s13634-019-0659-8","title":"Non-convex block-sparse compressed sensing with coherent tight frames","display_name":"Non-convex block-sparse compressed sensing with coherent tight frames","publication_year":2020,"publication_date":"2020-01-23","ids":{"openalex":"https://openalex.org/W3013471751","doi":"https://doi.org/10.1186/s13634-019-0659-8","mag":"3013471751"},"language":"en","primary_location":{"id":"doi:10.1186/s13634-019-0659-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0659-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0659-8","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://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0659-8","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008453141","display_name":"Xiaohu Luo","orcid":"https://orcid.org/0000-0002-1897-6832"},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Luo","raw_affiliation_strings":["Faculty of Computer and Information Science, Southwest University, Chongqing, 400715, China"],"raw_orcid":"https://orcid.org/0000-0002-1897-6832","affiliations":[{"raw_affiliation_string":"Faculty of Computer and Information Science, Southwest University, Chongqing, 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102302053","display_name":"Wan-Zhen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210127460","display_name":"Ningxia Medical University","ror":"https://ror.org/02h8a1848","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210127460"]},{"id":"https://openalex.org/I4210139449","display_name":"Ningxia Medical University General Hospital","ror":"https://ror.org/049dkqr57","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210139449"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanzhen Yang","raw_affiliation_strings":["Emergency Services, General Hospital of Ningxia Medical University, Yinchuan, 750001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emergency Services, General Hospital of Ningxia Medical University, Yinchuan, 750001, China","institution_ids":["https://openalex.org/I4210127460","https://openalex.org/I4210139449"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030841233","display_name":"Jincai Ha","orcid":null},"institutions":[{"id":"https://openalex.org/I3019309368","display_name":"North Minzu University","ror":"https://ror.org/05xjevr11","country_code":"CN","type":"education","lineage":["https://openalex.org/I3019309368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jincai Ha","raw_affiliation_strings":["School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Information Science, North Minzu University, Yinchuan, 750021, China","institution_ids":["https://openalex.org/I3019309368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056660812","display_name":"Xing Ai","orcid":null},"institutions":[{"id":"https://openalex.org/I142108993","display_name":"Southwest University","ror":"https://ror.org/01kj4z117","country_code":"CN","type":"education","lineage":["https://openalex.org/I142108993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Ai","raw_affiliation_strings":["Faculty of Eduction, Southwest University, Chongqing, 400715, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Eduction, Southwest University, Chongqing, 400715, China","institution_ids":["https://openalex.org/I142108993"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008104469","display_name":"Xishan Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I21642278","display_name":"Ningxia University","ror":"https://ror.org/04j7b2v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I21642278"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xishan Tian","raw_affiliation_strings":["Institute of Ethnic Preparatory Education, NingXia University, Yinchuan, 750002, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Ethnic Preparatory Education, NingXia University, Yinchuan, 750002, China","institution_ids":["https://openalex.org/I21642278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5008104469"],"corresponding_institution_ids":["https://openalex.org/I21642278"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":0.6459,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.59320248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"2020","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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9991000294685364,"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/T12015","display_name":"Photoacoustic and Ultrasonic Imaging","score":0.998199999332428,"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/compressed-sensing","display_name":"Compressed sensing","score":0.6855134963989258},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.6835539937019348},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6525028944015503},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5607354044914246},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5400719046592712},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.49137988686561584},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.4702070355415344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45688799023628235},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4478505551815033},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.398243248462677},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.21266844868659973},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11382737755775452}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6855134963989258},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.6835539937019348},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6525028944015503},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5607354044914246},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5400719046592712},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.49137988686561584},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.4702070355415344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45688799023628235},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4478505551815033},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.398243248462677},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.21266844868659973},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11382737755775452},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13634-019-0659-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0659-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0659-8","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"},{"id":"pmh:oai:doaj.org/article:1ce40b4eb17d46cea28dcad910fd91ad","is_oa":true,"landing_page_url":"https://doaj.org/article/1ce40b4eb17d46cea28dcad910fd91ad","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Advances in Signal Processing, Vol 2020, Iss 1, Pp 1-9 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13634-019-0659-8","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13634-019-0659-8","pdf_url":"https://asp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13634-019-0659-8","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320327619","display_name":"North Minzu University","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013471751.pdf","grobid_xml":"https://content.openalex.org/works/W3013471751.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1572929865","https://openalex.org/W1976709621","https://openalex.org/W1986931325","https://openalex.org/W2004544971","https://openalex.org/W2025666718","https://openalex.org/W2031906930","https://openalex.org/W2038441709","https://openalex.org/W2047194151","https://openalex.org/W2051864124","https://openalex.org/W2058266723","https://openalex.org/W2077237786","https://openalex.org/W2093564504","https://openalex.org/W2103955025","https://openalex.org/W2105877514","https://openalex.org/W2107844156","https://openalex.org/W2116218152","https://openalex.org/W2124698503","https://openalex.org/W2141433180","https://openalex.org/W2145096794","https://openalex.org/W2145432339","https://openalex.org/W2162671526","https://openalex.org/W2165340347","https://openalex.org/W2167326765","https://openalex.org/W2221775387","https://openalex.org/W2296616510","https://openalex.org/W2903276327","https://openalex.org/W2909993591","https://openalex.org/W2963252619","https://openalex.org/W2963519978","https://openalex.org/W4250955649","https://openalex.org/W6628927054"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756","https://openalex.org/W2465351041","https://openalex.org/W3153752017"],"abstract_inverted_index":{"Abstract":[0],"In":[1,44],"this":[2],"paper,":[3],"we":[4,46],"present":[5],"a":[6,12,20,25,30],"non-convex":[7,61],"\u21132/\u2113q(0<q<1)-analysis":[8],"method":[9,92],"to":[10,36,57],"recover":[11],"general":[13],"signal":[14],"that":[15],"can":[16],"be":[17],"expressed":[18],"as":[19],"block-sparse":[21],"coefficient":[22],"vector":[23],"in":[24,79],"coherent":[26],"tight":[27],"frame,":[28],"and":[29,70,75],"sufficient":[31],"condition":[32],"is":[33,68],"simultaneously":[34],"established":[35],"guarantee":[37],"the":[38,41,59,73,76,83,86,90],"validity":[39],"of":[40,89],"proposed":[42,65],"method.":[43],"addition,":[45],"also":[47],"derive":[48],"an":[49],"efficient":[50],"iterative":[51],"re-weighted":[52],"least":[53],"square":[54],"(IRLS)":[55],"algorithm":[56,67],"solve":[58],"induced":[60],"optimization":[62],"problem.":[63],"The":[64],"IRLS":[66],"tested":[69],"compared":[71],"with":[72,93],"\u21132/\u21131-analysis":[74],"\u2113q(0<q\u22641)-analysis":[77],"methods":[78],"some":[80],"experiments.":[81],"All":[82],"comparisons":[84],"demonstrate":[85],"superior":[87],"performance":[88],"\u21132/\u2113q-analysis":[91],"0<q<1.":[94]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}