{"id":"https://openalex.org/W2083647664","doi":"https://doi.org/10.1109/isit.2013.6620347","title":"Sparse signal recovery via multipath matching pursuit","display_name":"Sparse signal recovery via multipath matching pursuit","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2083647664","doi":"https://doi.org/10.1109/isit.2013.6620347","mag":"2083647664"},"language":"en","primary_location":{"id":"doi:10.1109/isit.2013.6620347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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/A5002162589","display_name":"Suhyuk Kwon","orcid":null},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210117582","display_name":"Korea Information System (South Korea)","ror":"https://ror.org/02frmqt72","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210117582"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Suhyuk Kwon","raw_affiliation_strings":["Information System Laboratory, School of Information and Communications, Korea University, South Korea","Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information System Laboratory, School of Information and Communications, Korea University, South Korea","institution_ids":["https://openalex.org/I4210117582"]},{"raw_affiliation_string":"Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100370463","display_name":"Jian Wang","orcid":"https://orcid.org/0000-0002-5421-5678"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210117582","display_name":"Korea Information System (South Korea)","ror":"https://ror.org/02frmqt72","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210117582"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jian Wang","raw_affiliation_strings":["Information System Laboratory, School of Information and Communications, Korea University, South Korea","Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information System Laboratory, School of Information and Communications, Korea University, South Korea","institution_ids":["https://openalex.org/I4210117582"]},{"raw_affiliation_string":"Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076075267","display_name":"Byonghyo Shim","orcid":"https://orcid.org/0000-0001-5051-1763"},"institutions":[{"id":"https://openalex.org/I197347611","display_name":"Korea University","ror":"https://ror.org/047dqcg40","country_code":"KR","type":"education","lineage":["https://openalex.org/I197347611"]},{"id":"https://openalex.org/I4210117582","display_name":"Korea Information System (South Korea)","ror":"https://ror.org/02frmqt72","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210117582"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byonghyo Shim","raw_affiliation_strings":["Information System Laboratory, School of Information and Communications, Korea University, South Korea","Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information System Laboratory, School of Information and Communications, Korea University, South Korea","institution_ids":["https://openalex.org/I4210117582"]},{"raw_affiliation_string":"Sch. of Inf. & Commun., Korea Univ., Seoul, South Korea","institution_ids":["https://openalex.org/I197347611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3527,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64771335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"53","issue":null,"first_page":"854","last_page":"858"},"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":0.9994000196456909,"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/T11996","display_name":"Random lasers and scattering media","score":0.9991000294685364,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/restricted-isometry-property","display_name":"Restricted isometry property","score":0.7801947593688965},{"id":"https://openalex.org/keywords/matching-pursuit","display_name":"Matching pursuit","score":0.761630654335022},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5799769163131714},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5660642385482788},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5606884360313416},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5485081672668457},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5389434099197388},{"id":"https://openalex.org/keywords/signal-recovery","display_name":"Signal recovery","score":0.49867939949035645},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4938264787197113},{"id":"https://openalex.org/keywords/isometry","display_name":"Isometry (Riemannian geometry)","score":0.48483359813690186},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.45111775398254395},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.43676936626434326},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.372824490070343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3353888988494873},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2811700105667114}],"concepts":[{"id":"https://openalex.org/C17902559","wikidata":"https://www.wikidata.org/wiki/Q17099734","display_name":"Restricted isometry property","level":3,"score":0.7801947593688965},{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.761630654335022},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5799769163131714},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5660642385482788},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5606884360313416},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5485081672668457},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5389434099197388},{"id":"https://openalex.org/C2989281035","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Signal recovery","level":3,"score":0.49867939949035645},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4938264787197113},{"id":"https://openalex.org/C82457910","wikidata":"https://www.wikidata.org/wiki/Q740207","display_name":"Isometry (Riemannian geometry)","level":2,"score":0.48483359813690186},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.45111775398254395},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.43676936626434326},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.372824490070343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3353888988494873},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2811700105667114},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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/isit.2013.6620347","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit.2013.6620347","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Information Theory","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":16,"referenced_works":["https://openalex.org/W1966946151","https://openalex.org/W1988529089","https://openalex.org/W2017761965","https://openalex.org/W2029816571","https://openalex.org/W2032618720","https://openalex.org/W2046658845","https://openalex.org/W2065321782","https://openalex.org/W2091893102","https://openalex.org/W2099641086","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2135643635","https://openalex.org/W2145096794","https://openalex.org/W2160979406","https://openalex.org/W2289917018","https://openalex.org/W2952775619"],"related_works":["https://openalex.org/W2025666718","https://openalex.org/W4394644422","https://openalex.org/W2134474909","https://openalex.org/W2951968883","https://openalex.org/W2122469757","https://openalex.org/W1848313300","https://openalex.org/W3150789642","https://openalex.org/W4200104579","https://openalex.org/W1759790807","https://openalex.org/W1975983932"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,63],"propose":[4],"a":[5],"sparse":[6,21],"recovery":[7,18,54],"algorithm,":[8],"termed":[9],"multiple":[10,26],"path":[11,34],"matching":[12],"pursuit":[13],"(MMP),":[14],"that":[15,65,81,103],"improves":[16,42],"the":[17,25,31,36,39,43,47,53,57,66,82,104],"performance":[19],"of":[20,45],"signals.":[22],"By":[23],"investigating":[24],"paths":[27],"and":[28,50,113],"then":[29],"choosing":[30],"most":[32],"promising":[33],"in":[35,110],"final":[37],"moment,":[38],"MMP":[40,67,105],"algorithm":[41,68,106],"chance":[44],"finding":[46],"true":[48],"support":[49],"therefore":[51],"enhances":[52],"performance.":[55],"From":[56],"restricted":[58],"isometry":[59],"property":[60],"(RIP)":[61],"analysis,":[62],"show":[64],"can":[69],"perfectly":[70],"reconstruct":[71],"any":[72],"K-sparse":[73],"(K":[74],">1)":[75],"signals,":[76],"<inf":[77,89],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[78,90],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u221a</inf>":[79],"provided":[80],"sensing":[83],"matrix":[84],"satisfies":[85],"RIP":[86],"with":[87],"\u03b4":[88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">K+L</inf>":[91],"<":[92],"\u221a":[93],"L/\u221a":[94],"K":[95],"+3\u221a":[96],"L.":[97],"We":[98],"demonstrate":[99],"by":[100],"empirical":[101],"simulations":[102],"is":[107],"very":[108],"competitive":[109],"both":[111],"noisy":[112],"noiseless":[114],"scenarios.":[115]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
