{"id":"https://openalex.org/W2076007397","doi":"https://doi.org/10.1109/ncc.2014.6811329","title":"Reduced Look Ahead Orthogonal Matching Pursuit","display_name":"Reduced Look Ahead Orthogonal Matching Pursuit","publication_year":2014,"publication_date":"2014-02-01","ids":{"openalex":"https://openalex.org/W2076007397","doi":"https://doi.org/10.1109/ncc.2014.6811329","mag":"2076007397"},"language":"en","primary_location":{"id":"doi:10.1109/ncc.2014.6811329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2014.6811329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Twentieth National Conference on Communications (NCC)","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/A5046813633","display_name":"Prateek Basavapur Swamy","orcid":null},"institutions":[{"id":"https://openalex.org/I53465836","display_name":"Bangalore University","ror":"https://ror.org/050j2vm64","country_code":"IN","type":"education","lineage":["https://openalex.org/I53465836"]},{"id":"https://openalex.org/I4389425378","display_name":"R.V. College of Engineering","ror":"https://ror.org/041re0e60","country_code":null,"type":"education","lineage":["https://openalex.org/I4389425378"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Prateek Basavapur Swamy","raw_affiliation_strings":["R.V. College of Engineering, Bangalore, India","R.V. College of Engineering, Bangalore, 560059, India"],"affiliations":[{"raw_affiliation_string":"R.V. College of Engineering, Bangalore, India","institution_ids":["https://openalex.org/I4389425378"]},{"raw_affiliation_string":"R.V. College of Engineering, Bangalore, 560059, India","institution_ids":["https://openalex.org/I53465836","https://openalex.org/I4389425378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005565135","display_name":"Sooraj K. Ambat","orcid":"https://orcid.org/0000-0002-3684-2221"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sooraj K. Ambat","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India","Indian Institute of Science, Bangalore 560012,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science, Bangalore 560012,India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101692633","display_name":"Saikat Chatterjee","orcid":"https://orcid.org/0000-0003-2638-6047"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Saikat Chatterjee","raw_affiliation_strings":["KTH Royal Institute of Technology, Stockholm, Sweden","KTH Royal Institute of Technology, Stockholm 10044, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"KTH Royal Institute of Technology, Stockholm 10044, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110588610","display_name":"K.V.S. Hari","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"K.V.S. Hari","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India","Indian Institute of Science, Bangalore 560012,India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]},{"raw_affiliation_string":"Indian Institute of Science, Bangalore 560012,India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046813633"],"corresponding_institution_ids":["https://openalex.org/I4389425378","https://openalex.org/I53465836"],"apc_list":null,"apc_paid":null,"fwci":0.9628,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75553579,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"4","issue":null,"first_page":"1","last_page":"6"},"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/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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9976999759674072,"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":0.9824843406677246},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.668485164642334},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6278420090675354},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.6019169092178345},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5698301792144775},{"id":"https://openalex.org/keywords/nyquist-rate","display_name":"Nyquist rate","score":0.5646834373474121},{"id":"https://openalex.org/keywords/basis-pursuit","display_name":"Basis pursuit","score":0.561669647693634},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5122267603874207},{"id":"https://openalex.org/keywords/look-ahead","display_name":"Look-ahead","score":0.5067434906959534},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.47932517528533936},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.468614399433136},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4219716489315033},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4146469831466675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39398691058158875},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.32901477813720703},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32449644804000854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.298767626285553},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.24097758531570435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.18228760361671448},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06924298405647278}],"concepts":[{"id":"https://openalex.org/C156872377","wikidata":"https://www.wikidata.org/wiki/Q6786281","display_name":"Matching pursuit","level":3,"score":0.9824843406677246},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.668485164642334},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6278420090675354},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.6019169092178345},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5698301792144775},{"id":"https://openalex.org/C65914096","wikidata":"https://www.wikidata.org/wiki/Q6273772","display_name":"Nyquist rate","level":4,"score":0.5646834373474121},{"id":"https://openalex.org/C99217422","wikidata":"https://www.wikidata.org/wiki/Q4867576","display_name":"Basis pursuit","level":4,"score":0.561669647693634},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5122267603874207},{"id":"https://openalex.org/C147297375","wikidata":"https://www.wikidata.org/wiki/Q6674930","display_name":"Look-ahead","level":2,"score":0.5067434906959534},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.47932517528533936},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.468614399433136},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4219716489315033},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4146469831466675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39398691058158875},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.32901477813720703},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32449644804000854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.298767626285553},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.24097758531570435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.18228760361671448},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06924298405647278},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ncc.2014.6811329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc.2014.6811329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 Twentieth National Conference on Communications (NCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:51862","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceedings"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1964982460","https://openalex.org/W1974466705","https://openalex.org/W1986931325","https://openalex.org/W2015418199","https://openalex.org/W2018345902","https://openalex.org/W2020390700","https://openalex.org/W2045748842","https://openalex.org/W2046658845","https://openalex.org/W2063310369","https://openalex.org/W2067763120","https://openalex.org/W2071284784","https://openalex.org/W2078204800","https://openalex.org/W2098602977","https://openalex.org/W2101675075","https://openalex.org/W2103955025","https://openalex.org/W2122315118","https://openalex.org/W2122548617","https://openalex.org/W2127271355","https://openalex.org/W2129131372","https://openalex.org/W2129638195","https://openalex.org/W2131665779","https://openalex.org/W2140023790","https://openalex.org/W2148154358","https://openalex.org/W2156043924","https://openalex.org/W2160979406","https://openalex.org/W2289917018","https://openalex.org/W2296616510","https://openalex.org/W2552015277","https://openalex.org/W2949379925","https://openalex.org/W2951279100","https://openalex.org/W2963322354","https://openalex.org/W4249677576","https://openalex.org/W4255272544"],"related_works":["https://openalex.org/W2388133936","https://openalex.org/W2067878805","https://openalex.org/W2140023790","https://openalex.org/W2086419783","https://openalex.org/W1983115982","https://openalex.org/W2436826437","https://openalex.org/W3103056594","https://openalex.org/W2536408609","https://openalex.org/W2523302315","https://openalex.org/W2340242818"],"abstract_inverted_index":{"Compressed":[0],"Sensing":[1],"(CS)":[2],"is":[3,99],"an":[4],"elegant":[5],"technique":[6],"to":[7,88,136],"acquire":[8],"signals":[9],"and":[10,43,70,91,130],"reconstruct":[11,45],"them":[12],"efficiently":[13],"by":[14],"solving":[15],"a":[16,36,103],"system":[17],"of":[18,54,97,106,127,148],"under-determined":[19],"linear":[20],"equations.":[21],"The":[22,78],"excitement":[23],"in":[24,133,142],"this":[25,149],"field":[26],"stems":[27],"from":[28,124],"the":[29,40,46,55,61,66,71,83,89,92,94,107,125,128,131,134,138,143],"fact":[30],"that":[31],"we":[32],"can":[33],"sample":[34],"at":[35],"rate":[37,42],"way":[38],"below":[39],"Nyquist":[41],"still":[44],"signal":[47],"provided":[48],"some":[49],"conditions":[50],"are":[51,60],"met.":[52],"Some":[53],"popular":[56],"greedy":[57],"reconstruction":[58],"algorithms":[59],"Orthogonal":[62,74,114],"Matching":[63,75,115],"Pursuit":[64,68,76,116],"(OMP),":[65],"Subspace":[67],"(SP)":[69],"Look":[72,112],"Ahead":[73,113],"(LAOMP).":[77],"LAOMP":[79,98,108,120],"performs":[80],"better":[81],"than":[82],"OMP.":[84],"However,":[85],"when":[86],"compared":[87],"SP":[90,132],"OMP,":[93],"computational":[95],"complexity":[96],"higher.":[100],"We":[101],"introduce":[102],"modified":[104],"version":[105],"termed":[109],"as":[110],"Reduced":[111,119],"(Reduced":[117],"LAOMP).":[118],"uses":[121],"prior":[122],"information":[123],"results":[126],"OMP":[129],"quest":[135],"speedup":[137],"look":[139],"ahead":[140],"strategy":[141],"LAOMP.":[144],"Monte":[145],"Carlo":[146],"simulations":[147],"algorithm":[150],"deliver":[151],"promising":[152],"results.":[153]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}