{"id":"https://openalex.org/W2804512190","doi":"https://doi.org/10.1145/3193025.3193033","title":"Orthogonal Matching Pursuit Algorithm Via Improved Matching Criterion","display_name":"Orthogonal Matching Pursuit Algorithm Via Improved Matching Criterion","publication_year":2018,"publication_date":"2018-02-25","ids":{"openalex":"https://openalex.org/W2804512190","doi":"https://doi.org/10.1145/3193025.3193033","mag":"2804512190"},"language":"en","primary_location":{"id":"doi:10.1145/3193025.3193033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","raw_type":"proceedings-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/A5058463992","display_name":"Jianhong Xiang","orcid":"https://orcid.org/0000-0002-5764-7775"},"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":"Jianhong Xiang","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110612139","display_name":"Huihui Yue","orcid":null},"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":"Huihui Yue","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037655210","display_name":"Xiangjun Yin","orcid":"https://orcid.org/0000-0002-4829-9019"},"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":"Xiangjun Yin","raw_affiliation_strings":["College of Information and Communication Engineering, Harbin Engineering University, Harbin"],"affiliations":[{"raw_affiliation_string":"College of Information and Communication Engineering, Harbin Engineering University, Harbin","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058463992"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05427975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"31"},"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9966999888420105,"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/matching-pursuit","display_name":"Matching pursuit","score":0.8935373425483704},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6841679811477661},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6672886610031128},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.5705236196517944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644124746322632},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.553429365158081},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.48676013946533203},{"id":"https://openalex.org/keywords/reconstruction-algorithm","display_name":"Reconstruction algorithm","score":0.47461026906967163},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.46530017256736755},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44266849756240845},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36733147501945496},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.34128057956695557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3410923480987549},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.3354441821575165},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3229180872440338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.321272611618042}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.8935373425483704},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6841679811477661},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6672886610031128},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.5705236196517944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644124746322632},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.553429365158081},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.48676013946533203},{"id":"https://openalex.org/C2779898584","wikidata":"https://www.wikidata.org/wiki/Q7820109","display_name":"Reconstruction algorithm","level":3,"score":0.47461026906967163},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46530017256736755},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44266849756240845},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36733147501945496},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.34128057956695557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3410923480987549},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.3354441821575165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3229180872440338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.321272611618042},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3193025.3193033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3193025.3193033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd International Conference on Digital Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.49000000953674316,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W2030449718","https://openalex.org/W2041101642","https://openalex.org/W2046658845","https://openalex.org/W2065321782","https://openalex.org/W2104266187","https://openalex.org/W2128659236","https://openalex.org/W2151693816","https://openalex.org/W2160979406","https://openalex.org/W2196956961","https://openalex.org/W2289917018","https://openalex.org/W2294278953","https://openalex.org/W4300263211"],"related_works":["https://openalex.org/W2551136801","https://openalex.org/W2244779222","https://openalex.org/W2385601747","https://openalex.org/W3083878955","https://openalex.org/W2587863204","https://openalex.org/W2803281744","https://openalex.org/W2025263991","https://openalex.org/W2535467286","https://openalex.org/W1987925885","https://openalex.org/W2528345333"],"abstract_inverted_index":{"Better":[0],"support":[1,65],"set":[2,66],"Selected":[3],"is":[4,54,80],"the":[5,13,31,34,37,45,59,64,69,75,88,95,100],"key":[6],"step":[7],"in":[8,22,44,87],"Compressed":[9],"Sensing":[10],"to":[11,28,41,58,62,82,99],"improve":[12,68],"reconstruction":[14,46,60,70,89],"effect.":[15],"The":[16],"inner":[17],"product":[18],"matching":[19,24,102],"criterion":[20,53],"adopted":[21],"orthogonal":[23,101],"pursuit":[25,103],"algorithm":[26,61,78],"fails":[27],"fully":[29],"consider":[30],"correlation":[32],"between":[33],"residuals":[35],"and":[36,56,67,92],"atoms,":[38],"which":[39],"leads":[40],"greater":[42],"error":[43,93],"process.":[47],"As":[48],"for":[49],"this,":[50],"an":[51,84],"improved":[52],"proposed":[55,79],"applied":[57],"optimize":[63],"performance.":[71],"Through":[72],"experimental":[73],"simulation,":[74],"performance":[76],"of":[77],"verified":[81],"be":[83],"overall":[85],"improvement":[86],"success":[90],"rate":[91],"under":[94],"same":[96],"conditions":[97],"compared":[98],"algorithm.":[104]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}