{"id":"https://openalex.org/W2947743637","doi":"https://doi.org/10.1109/spcom.2018.8724462","title":"A Low Complexity Orthogonal Least Squares Algorithm for Sparse Signal Recovery","display_name":"A Low Complexity Orthogonal Least Squares Algorithm for Sparse Signal Recovery","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2947743637","doi":"https://doi.org/10.1109/spcom.2018.8724462","mag":"2947743637"},"language":"en","primary_location":{"id":"doi:10.1109/spcom.2018.8724462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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/A5006331313","display_name":"Samrat Mukhopadhyay","orcid":"https://orcid.org/0000-0002-6389-5185"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samrat Mukhopadhyay","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039591285","display_name":"Siddhartha Satpathi","orcid":"https://orcid.org/0000-0001-5359-7793"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddhartha Satpathi","raw_affiliation_strings":["Department of Electrical Engg., University of Illinois at Urbana Champaign, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engg., University of Illinois at Urbana Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072872028","display_name":"Mrityunjoy Chakraborty","orcid":"https://orcid.org/0000-0003-4009-9554"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrityunjoy Chakraborty","raw_affiliation_strings":["Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, INDIA","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37508218,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"75","last_page":"79"},"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":0.9994999766349792,"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"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5784200429916382},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5777915716171265},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5184040069580078},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4589678943157196},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4525354504585266},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4462262988090515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2890472412109375},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1450197994709015},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1294233202934265}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5784200429916382},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5777915716171265},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5184040069580078},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4589678943157196},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4525354504585266},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4462262988090515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2890472412109375},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1450197994709015},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1294233202934265},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"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/spcom.2018.8724462","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spcom.2018.8724462","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Signal Processing and Communications (SPCOM)","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":7,"referenced_works":["https://openalex.org/W43282915","https://openalex.org/W2058428247","https://openalex.org/W2102380305","https://openalex.org/W2116148865","https://openalex.org/W2127271355","https://openalex.org/W2963898043","https://openalex.org/W2979904180"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2989452537","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2189341500"],"abstract_inverted_index":{"Recently,":[0],"multiple":[1,30,47],"orthogonal":[2,15],"least":[3,16,48],"squares":[4,17,49],"(mOLS)":[5],"was":[6],"proposed":[7,162],"as":[8,52,142],"an":[9],"extension":[10],"of":[11,26,65,67,84,103,123,126,178,187],"the":[12,22,36,56,68,93,104,107,124,127,131,161,183],"well":[13],"known":[14],"(OLS)":[18],"algorithm,":[19,50],"which":[20,54],"generalizes":[21],"support":[23,88],"identification":[24,83],"strategy":[25],"OLS":[27],"by":[28,60,71,152],"selecting":[29],"columns":[31,66,105,125],"per":[32],"iteration,":[33],"thereby":[34],"enhancing":[35],"convergence":[37,158],"rate":[38],"significantly.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"a":[45,63,72,100,145,174],"modified":[46],"termed":[51],"m2OLS,":[53],"refines":[55],"mOLS":[57,96,143,179],"iteration":[58],"step":[59],"first":[61],"preselecting":[62],"subset":[64,78,102],"measurement":[69,128],"matrix":[70,129],"suitable":[73],"\u201cgreedy\u201d":[74],"principle.":[75],"The":[76,155],"selected":[77],"is":[79,118,148],"then":[80],"used":[81],"for":[82,160,164],"multiple,":[85],"possibly":[86],"\u201ctrue\u201d":[87],"indices":[89],"using":[90],"mOLS.":[91,190],"Restricting":[92],"computationally":[94],"demanding":[95],"calculations":[97],"only":[98],"to":[99,137],"smaller":[101],"reduces":[106],"overall":[108],"computational":[109,185],"overhead":[110],"substantially.":[111],"Further,":[112],"like":[113],"mOLS,":[114],"preselection":[115],"in":[116],"m2OLS":[117,136,163,181,188],"also":[119,149,172],"based":[120],"on":[121],"correlation":[122],"with":[130],"residual":[132],"vector,":[133],"thus":[134],"enabling":[135],"achieve":[138],"similar":[139],"recovery":[140],"performance":[141,186],"-":[144],"fact":[146],"that":[147],"borne":[150],"out":[151],"simulation":[153],"studies.":[154],"paper":[156],"presents":[157],"conditions":[159],"both":[165],"noise":[166],"free":[167],"and":[168,180],"noisy":[169],"observations.":[170],"It":[171],"provides":[173],"comparative":[175],"complexity":[176],"analysis":[177],"demonstrating":[182],"superior":[184],"vis-a-vis":[189]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
