{"id":"https://openalex.org/W2516188978","doi":"https://doi.org/10.1109/iscas.2016.7527470","title":"A greedy pursuit algorithm for arbitrary block sparse signal recovery","display_name":"A greedy pursuit algorithm for arbitrary block sparse signal recovery","publication_year":2016,"publication_date":"2016-05-01","ids":{"openalex":"https://openalex.org/W2516188978","doi":"https://doi.org/10.1109/iscas.2016.7527470","mag":"2516188978"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2016.7527470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7527470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109238665","display_name":"Enpin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enpin Yang","raw_affiliation_strings":["School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I9842412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069917071","display_name":"Xiao Yan","orcid":"https://orcid.org/0000-0003-4108-9665"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Yan","raw_affiliation_strings":["School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075449178","display_name":"Kaiyu Qin","orcid":"https://orcid.org/0000-0002-0812-7095"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiyu Qin","raw_affiliation_strings":["School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of aeronautics and astronautics, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711","https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1234","last_page":"1237"},"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/T11996","display_name":"Random lasers and scattering media","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/3102","display_name":"Acoustics and Ultrasonics"},"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":0.9994999766349792,"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":0.7959672808647156},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.7893811464309692},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.7101065516471863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6791155338287354},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.6613837480545044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6294559240341187},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.6222215294837952},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5138754844665527},{"id":"https://openalex.org/keywords/block-size","display_name":"Block size","score":0.4846389889717102},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4154462516307831},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3031778633594513},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.09254753589630127},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07048031687736511},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06339645385742188}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.7959672808647156},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.7893811464309692},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.7101065516471863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6791155338287354},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.6613837480545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6294559240341187},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.6222215294837952},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5138754844665527},{"id":"https://openalex.org/C41431624","wikidata":"https://www.wikidata.org/wiki/Q1053357","display_name":"Block size","level":3,"score":0.4846389889717102},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4154462516307831},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3031778633594513},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.09254753589630127},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07048031687736511},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06339645385742188},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2016.7527470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2016.7527470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1974774078","https://openalex.org/W2007527271","https://openalex.org/W2017761965","https://openalex.org/W2046658845","https://openalex.org/W2100037283","https://openalex.org/W2118168795","https://openalex.org/W2127271355","https://openalex.org/W2145096794","https://openalex.org/W2147276092","https://openalex.org/W2153609494","https://openalex.org/W2160979406","https://openalex.org/W2162409952","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2098521117","https://openalex.org/W3015194228","https://openalex.org/W2381127329","https://openalex.org/W4385694579","https://openalex.org/W2465351041","https://openalex.org/W4319793311","https://openalex.org/W1815093352","https://openalex.org/W2145977033","https://openalex.org/W2138498353","https://openalex.org/W2379256376"],"abstract_inverted_index":{"In":[0,43],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,48,58,71],"novel":[6],"greedy":[7],"iteration":[8],"algorithm,":[9],"called":[10],"block":[11,17,31,34],"matching":[12],"pursuit":[13],"(BMP),":[14],"for":[15],"arbitrary":[16],"sparse":[18],"signal":[19,26,56,97],"recovery.":[20],"BMP":[21,46,93],"can":[22,37,94],"recover":[23,95],"the":[24,39,76,96],"target":[25],"without":[27],"prior":[28],"information":[29],"of":[30,55,98],"structure":[32],"or":[33,102],"length":[35],"and":[36,62,105],"estimate":[38,52],"true":[40],"sparsity":[41,86],"level.":[42,87],"each":[44],"iteration,":[45],"processes":[47],"correlation":[49],"test":[50],"to":[51,69,78,83],"nonzero":[53,67],"entries":[54,68,81],"with":[57],"fixed":[59],"step":[60],"size,":[61],"then":[63],"gathers":[64],"all":[65],"possible":[66],"form":[70],"candidate":[72],"list,":[73],"finally":[74],"checks":[75],"list":[77],"choose":[79],"correct":[80],"according":[82],"current":[84],"estimated":[85],"The":[88],"simulation":[89],"results":[90],"show":[91],"that":[92],"interest":[99],"in":[100],"noiseless":[101],"noisy":[103],"case":[104],"achieves":[106],"an":[107],"outstanding":[108],"recovery":[109],"performance.":[110]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}