{"id":"https://openalex.org/W2317407535","doi":"https://doi.org/10.1109/tip.2016.2518862","title":"An MM-Based Algorithm for -Regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction","display_name":"An MM-Based Algorithm for -Regularized Least-Squares Estimation With an Application to Ground Penetrating Radar Image Reconstruction","publication_year":2016,"publication_date":"2016-01-18","ids":{"openalex":"https://openalex.org/W2317407535","doi":"https://doi.org/10.1109/tip.2016.2518862","mag":"2317407535","pmid":"https://pubmed.ncbi.nlm.nih.gov/26800538"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2518862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2518862","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5078667570","display_name":"Mandoye Ndoye","orcid":null},"institutions":[{"id":"https://openalex.org/I6026837","display_name":"Tuskegee University","ror":"https://ror.org/0137n4m74","country_code":"US","type":"education","lineage":["https://openalex.org/I6026837"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mandoye Ndoye","raw_affiliation_strings":["Department of Electrical Engineering, Tuskegee University, Tuskegee, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tuskegee University, Tuskegee, AL, USA","institution_ids":["https://openalex.org/I6026837"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040839555","display_name":"J.M.M. Anderson","orcid":"https://orcid.org/0000-0003-4691-7335"},"institutions":[{"id":"https://openalex.org/I137853757","display_name":"Howard University","ror":"https://ror.org/05gt1vc06","country_code":"US","type":"education","lineage":["https://openalex.org/I137853757"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John M. M. Anderson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Howard University, Washington, DC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Howard University, Washington, DC, USA","institution_ids":["https://openalex.org/I137853757"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024667554","display_name":"David Greene","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David J. Greene","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2736,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.86802411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"25","issue":"5","first_page":"2206","last_page":"2221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9998000264167786,"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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.7939345836639404},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.6296542882919312},{"id":"https://openalex.org/keywords/ground-penetrating-radar","display_name":"Ground-penetrating radar","score":0.580443799495697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48866990208625793},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4198925495147705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4024474024772644},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.33736681938171387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33577972650527954}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.7939345836639404},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.6296542882919312},{"id":"https://openalex.org/C71813955","wikidata":"https://www.wikidata.org/wiki/Q503560","display_name":"Ground-penetrating radar","level":3,"score":0.580443799495697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48866990208625793},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4198925495147705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4024474024772644},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.33736681938171387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33577972650527954},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2016.2518862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2518862","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26800538","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26800538","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5404417352","display_name":null,"funder_award_id":"W911NF-1120039","funder_id":"https://openalex.org/F4320338281","funder_display_name":"Army Research Office"}],"funders":[{"id":"https://openalex.org/F4320310009","display_name":"University of Florida","ror":"https://ror.org/02y3ad647"},{"id":"https://openalex.org/F4320332450","display_name":"Bureau of Safety and Environmental Enforcement","ror":"https://ror.org/03v0pmy70"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":116,"referenced_works":["https://openalex.org/W144798229","https://openalex.org/W282275548","https://openalex.org/W596928057","https://openalex.org/W833778302","https://openalex.org/W1480376833","https://openalex.org/W1485710552","https://openalex.org/W1591867251","https://openalex.org/W1595139060","https://openalex.org/W1613559169","https://openalex.org/W1669104078","https://openalex.org/W1851496277","https://openalex.org/W1966433777","https://openalex.org/W1969173811","https://openalex.org/W1973920967","https://openalex.org/W1975377467","https://openalex.org/W1983008863","https://openalex.org/W1984898923","https://openalex.org/W1986931325","https://openalex.org/W1989718932","https://openalex.org/W1992895585","https://openalex.org/W1996287810","https://openalex.org/W1997678737","https://openalex.org/W2006262045","https://openalex.org/W2016874643","https://openalex.org/W2018330878","https://openalex.org/W2021302824","https://openalex.org/W2023722580","https://openalex.org/W2026340405","https://openalex.org/W2028781966","https://openalex.org/W2030449718","https://openalex.org/W2032803057","https://openalex.org/W2047028564","https://openalex.org/W2050834445","https://openalex.org/W2062102668","https://openalex.org/W2063978378","https://openalex.org/W2065030431","https://openalex.org/W2065321782","https://openalex.org/W2072327470","https://openalex.org/W2075172746","https://openalex.org/W2076211048","https://openalex.org/W2076261573","https://openalex.org/W2082476922","https://openalex.org/W2083347692","https://openalex.org/W2085842701","https://openalex.org/W2091337713","https://openalex.org/W2094041645","https://openalex.org/W2095978736","https://openalex.org/W2097323375","https://openalex.org/W2098012923","https://openalex.org/W2100556411","https://openalex.org/W2100705753","https://openalex.org/W2102921232","https://openalex.org/W2106448014","https://openalex.org/W2106926728","https://openalex.org/W2107861471","https://openalex.org/W2109061412","https://openalex.org/W2109449402","https://openalex.org/W2110140246","https://openalex.org/W2115706991","https://openalex.org/W2118512125","https://openalex.org/W2118724215","https://openalex.org/W2119883478","https://openalex.org/W2122315118","https://openalex.org/W2126607811","https://openalex.org/W2127271355","https://openalex.org/W2128659236","https://openalex.org/W2129131372","https://openalex.org/W2131730299","https://openalex.org/W2132622200","https://openalex.org/W2135046866","https://openalex.org/W2136005975","https://openalex.org/W2139276415","https://openalex.org/W2143163931","https://openalex.org/W2145096794","https://openalex.org/W2146482778","https://openalex.org/W2149414429","https://openalex.org/W2149846618","https://openalex.org/W2151169541","https://openalex.org/W2151443616","https://openalex.org/W2155397055","https://openalex.org/W2156612134","https://openalex.org/W2160979406","https://openalex.org/W2164278908","https://openalex.org/W2167604521","https://openalex.org/W2168745297","https://openalex.org/W2169164332","https://openalex.org/W2169393984","https://openalex.org/W2171534739","https://openalex.org/W2185133926","https://openalex.org/W2294690908","https://openalex.org/W2296616510","https://openalex.org/W2296693014","https://openalex.org/W2752885492","https://openalex.org/W2913535645","https://openalex.org/W2936995161","https://openalex.org/W2949483514","https://openalex.org/W2954811775","https://openalex.org/W3022380717","https://openalex.org/W3102903867","https://openalex.org/W3124114587","https://openalex.org/W4237191273","https://openalex.org/W4238957295","https://openalex.org/W4250955649","https://openalex.org/W4254313632","https://openalex.org/W4255455317","https://openalex.org/W4285719527","https://openalex.org/W4292363360","https://openalex.org/W6676352793","https://openalex.org/W6679614148","https://openalex.org/W6681413097","https://openalex.org/W6686227884","https://openalex.org/W6697419950","https://openalex.org/W6758920291","https://openalex.org/W6761030284","https://openalex.org/W6765286134","https://openalex.org/W6785867552"],"related_works":["https://openalex.org/W4315471419","https://openalex.org/W2946057701","https://openalex.org/W4386931161","https://openalex.org/W2374146176","https://openalex.org/W2065249286","https://openalex.org/W2366839571","https://openalex.org/W4223960160","https://openalex.org/W2027762722","https://openalex.org/W2356754952","https://openalex.org/W4362499101"],"abstract_inverted_index":{"An":[0],"estimation":[1,15,68],"method":[2,34],"known":[3],"as":[4],"least":[5],"absolute":[6],"shrinkage":[7],"and":[8,78,115,152,180,188],"selection":[9],"operator":[10],"(LASSO)":[11],"or":[12],"\u21131-regularized":[13,146],"LS":[14,52,147],"has":[16],"been":[17],"found":[18],"to":[19,35,75,80,129,143],"perform":[20],"well":[21],"in":[22,163],"a":[23,50,150],"number":[24],"of":[25,49,95,165,176],"applications.":[26],"In":[27,89,171],"this":[28],"paper,":[29],"we":[30,64,91,169],"use":[31],"the":[32,41,47,66,96,111,121,131,144,160,166,173,177],"majorize-minimize":[33],"develop":[36],"an":[37,56,93],"algorithm":[38,98,114,126],"for":[39,99],"minimizing":[40],"LASSO":[42,67,82],"objective":[43,53,83],"function,":[44],"which":[45,63],"is":[46,73,107,127],"sum":[48],"linear":[51],"function":[54,84],"plus":[55],"\u21131":[57],"penalty":[58],"term.":[59],"The":[60,156],"proposed":[61,141],"algorithm,":[62,72],"call":[65],"via":[69],"majorization-minimization":[70],"(LMM)":[71],"straightforward":[74],"implement,":[76],"parallelizable,":[77],"guaranteed":[79],"produce":[81],"values":[85],"that":[86,106],"monotonically":[87],"decrease.":[88],"addition,":[90,172],"formulate":[92],"extension":[94],"LMM":[97,113,124,179],"reconstructing":[100],"ground":[101],"penetrating":[102],"radar":[103],"(GPR)":[104],"images,":[105],"much":[108],"faster":[109],"than":[110],"standard":[112,178],"utilizes":[116],"significantly":[117],"less":[118],"memory.":[119],"Thus,":[120],"GPR":[122,136,190],"specific":[123],"(GPR-LMM)":[125],"able":[128],"accommodate":[130],"big":[132],"data":[133],"associated":[134],"with":[135],"imaging.":[137],"We":[138],"compare":[139],"our":[140],"algorithms":[142,148,162,182],"state-of-the-art":[145],"using":[149,185],"time":[151],"space":[153],"complexity":[154],"analysis.":[155],"GPR-LMM":[157,181],"greatly":[158],"outperforms":[159],"competing":[161],"terms":[164],"performance":[167],"metrics":[168],"considered.":[170],"reconstruction":[174],"results":[175],"are":[183],"evaluated":[184],"both":[186],"simulated":[187],"real":[189],"data.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2016-06-24T00:00:00"}
