{"id":"https://openalex.org/W2157963731","doi":"https://doi.org/10.1109/tsp.2010.2052614","title":"Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression","display_name":"Estimating Multiple Frequency-Hopping Signal Parameters via Sparse Linear Regression","publication_year":2010,"publication_date":"2010-06-16","ids":{"openalex":"https://openalex.org/W2157963731","doi":"https://doi.org/10.1109/tsp.2010.2052614","mag":"2157963731"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2010.2052614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2052614","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-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/A5055794224","display_name":"Daniele Angelosante","orcid":"https://orcid.org/0000-0001-6570-6256"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniele Angelosante","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026758314","display_name":"Georgios B. Giannakis","orcid":"https://orcid.org/0000-0002-0196-0260"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Georgios B. Giannakis","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Minnesota, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050186120","display_name":"Nicholas D. Sidiropoulos","orcid":"https://orcid.org/0000-0002-3385-7911"},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nicholas D. Sidiropoulos","raw_affiliation_strings":["Department of Electronic and Computer Engineering, Technical University of Crete, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic and Computer Engineering, Technical University of Crete, Crete, Greece","institution_ids":["https://openalex.org/I55741626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":129.5993,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.99825417,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"58","issue":"10","first_page":"5044","last_page":"5056"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10891","display_name":"Radar Systems and Signal Processing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9975000023841858,"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/spectrogram","display_name":"Spectrogram","score":0.7441480755805969},{"id":"https://openalex.org/keywords/chirp","display_name":"Chirp","score":0.5789392590522766},{"id":"https://openalex.org/keywords/frequency-hopping-spread-spectrum","display_name":"Frequency-hopping spread spectrum","score":0.5582785606384277},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5575531125068665},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5236772894859314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5129292011260986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4668933153152466},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.4504023492336273},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42927563190460205},{"id":"https://openalex.org/keywords/polynomial-regression","display_name":"Polynomial regression","score":0.41708576679229736},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.36892402172088623},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34372779726982117},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.25517648458480835},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.2304288148880005},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.16223105788230896}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.7441480755805969},{"id":"https://openalex.org/C132794960","wikidata":"https://www.wikidata.org/wiki/Q27304","display_name":"Chirp","level":3,"score":0.5789392590522766},{"id":"https://openalex.org/C122962297","wikidata":"https://www.wikidata.org/wiki/Q1136013","display_name":"Frequency-hopping spread spectrum","level":2,"score":0.5582785606384277},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5575531125068665},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5236772894859314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5129292011260986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4668933153152466},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4504023492336273},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42927563190460205},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.41708576679229736},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.36892402172088623},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34372779726982117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.25517648458480835},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2304288148880005},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.16223105788230896},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C520434653","wikidata":"https://www.wikidata.org/wiki/Q38867","display_name":"Laser","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2010.2052614","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2010.2052614","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.187.1071","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.187.1071","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.telecom.tuc.gr/%7Enikos/AngSidGiaTSP2010.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W1540764732","https://openalex.org/W1551110424","https://openalex.org/W1603765807","https://openalex.org/W1942749961","https://openalex.org/W1967073510","https://openalex.org/W1984568490","https://openalex.org/W1986808556","https://openalex.org/W2017154474","https://openalex.org/W2020925091","https://openalex.org/W2040296279","https://openalex.org/W2056636001","https://openalex.org/W2059358778","https://openalex.org/W2059843388","https://openalex.org/W2074682976","https://openalex.org/W2100868949","https://openalex.org/W2101280854","https://openalex.org/W2104783034","https://openalex.org/W2105408969","https://openalex.org/W2107861471","https://openalex.org/W2108489512","https://openalex.org/W2108970807","https://openalex.org/W2112807581","https://openalex.org/W2113885710","https://openalex.org/W2115460065","https://openalex.org/W2119667497","https://openalex.org/W2119908042","https://openalex.org/W2129131372","https://openalex.org/W2135046866","https://openalex.org/W2145017037","https://openalex.org/W2149213383","https://openalex.org/W2151267926","https://openalex.org/W2161431029","https://openalex.org/W2162442820","https://openalex.org/W2163985581","https://openalex.org/W2488000962","https://openalex.org/W2611293703","https://openalex.org/W3098745759","https://openalex.org/W3105034597","https://openalex.org/W4230517232","https://openalex.org/W4299439662","https://openalex.org/W6646994655"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2092994918","https://openalex.org/W4283730101","https://openalex.org/W3118299338","https://openalex.org/W4226020666","https://openalex.org/W267133670","https://openalex.org/W2067237548","https://openalex.org/W4283766136","https://openalex.org/W2497776146"],"abstract_inverted_index":{"Frequency":[0],"hopping":[1,26,138],"(FH)":[2],"signals":[3],"have":[4],"well-documented":[5],"merits":[6],"for":[7],"commercial":[8],"and":[9,17,29,34,75,115],"military":[10],"applications":[11],"due":[12],"to":[13,19,135,159],"their":[14],"near-far":[15],"resistance":[16],"robustness":[18],"jamming.":[20],"Estimating":[21],"FH":[22],"signal":[23],"parameters":[24],"(e.g.,":[25],"instants,":[27],"carriers,":[28],"amplitudes)":[30],"is":[31,64,84,102,119,132,164],"an":[32,41],"important":[33],"challenging":[35],"task,":[36],"but":[37],"optimum":[38],"estimation":[39],"incurs":[40],"unrealistic":[42],"computational":[43],"burden.":[44],"The":[45,62,129],"spectrogram":[46,72],"has":[47],"long":[48],"been":[49],"the":[50,71,100,122,150,165,168],"starting":[51],"non-parametric":[52],"estimator":[53,152],"in":[54,86,142],"this":[55,87],"context,":[56],"followed":[57],"by":[58],"line":[59],"spectra":[60],"refinements.":[61],"problem":[63,101],"that":[65,149],"hop":[66,160],"timing":[67,161],"estimates":[68],"derived":[69],"from":[70],"are":[73],"coarse":[74],"unreliable,":[76],"thus":[77],"severely":[78],"limiting":[79],"performance.":[80],"A":[81],"novel":[82],"approach":[83,131],"developed":[85,151],"paper,":[88],"based":[89],"on":[90],"sparse":[91],"linear":[92,108],"regression":[93,109],"(SLR).":[94],"Using":[95],"a":[96,111],"dense":[97],"frequency":[98],"grid,":[99],"formulated":[103],"as":[104],"one":[105],"of":[106,126,167],"under-determined":[107],"with":[110,157],"dual":[112],"sparsity":[113],"penalty,":[114],"its":[116],"exact":[117],"solution":[118],"obtained":[120],"using":[121],"alternating":[123],"direction":[124],"method":[125],"multipliers":[127],"(ADMoM).":[128],"SLR-based":[130],"further":[133],"broadened":[134],"encompass":[136],"polynomial-phase":[137],"(PPH)":[139],"signals,":[140],"encountered":[141],"chirp":[143],"spread":[144],"spectrum":[145],"modulation.":[146],"Simulations":[147],"demonstrate":[148],"outperforms":[153],"spectrogram-based":[154],"alternatives,":[155],"especially":[156],"regard":[158],"estimation,":[162],"which":[163],"crux":[166],"problem.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":10},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":6},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":3}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
