{"id":"https://openalex.org/W2571091586","doi":"https://doi.org/10.1109/lcomm.2017.2651062","title":"Off-the-Grid Compressive Time Delay Estimation via Manifold-Based Optimization","display_name":"Off-the-Grid Compressive Time Delay Estimation via Manifold-Based Optimization","publication_year":2017,"publication_date":"2017-01-10","ids":{"openalex":"https://openalex.org/W2571091586","doi":"https://doi.org/10.1109/lcomm.2017.2651062","mag":"2571091586"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2017.2651062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2017.2651062","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5100441525","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0001-8760-5579"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8760-5579","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043895556","display_name":"Feng Yu","orcid":"https://orcid.org/0000-0002-9740-2537"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Yu","raw_affiliation_strings":["Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.00980018,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"21","issue":"5","first_page":"983","last_page":"986"},"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":0.9988999962806702,"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":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.6076829433441162},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.5172815322875977},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.499636173248291},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.47050780057907104},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4387170970439911},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3945000469684601},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22833123803138733},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0914231538772583},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09046801924705505}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6076829433441162},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.5172815322875977},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.499636173248291},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.47050780057907104},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4387170970439911},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3945000469684601},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22833123803138733},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0914231538772583},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09046801924705505},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2017.2651062","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2017.2651062","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1771150291","https://openalex.org/W1980874175","https://openalex.org/W1986736933","https://openalex.org/W2003440804","https://openalex.org/W2015418199","https://openalex.org/W2030449718","https://openalex.org/W2032378253","https://openalex.org/W2063978378","https://openalex.org/W2123457453","https://openalex.org/W2125680629","https://openalex.org/W2141116650","https://openalex.org/W2143148420","https://openalex.org/W2156377127","https://openalex.org/W2169892604","https://openalex.org/W3125735862"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2810730439","https://openalex.org/W1881631164","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W1964277756"],"abstract_inverted_index":{"The":[0,126],"time":[1],"delay":[2],"estimation":[3,121],"(TDE)":[4],"of":[5,13,19,48,54],"some":[6],"known":[7],"waveforms":[8],"from":[9,84],"sampled":[10],"data":[11],"is":[12],"great":[14],"interest":[15],"in":[16,64,112],"the":[17,40,46,49,52,56,70,75,108,120,124,147],"area":[18],"signal":[20,35],"processing,":[21],"e.g.,":[22],"wireless":[23],"communication,":[24],"radar,":[25],"and":[26,91,118,123],"sonar.":[27],"Classical":[28],"algorithms,":[29],"such":[30],"as":[31,95,97],"matched":[32],"filters,":[33],"multiple":[34],"classification":[36],"always":[37],"work":[38],"under":[39,139],"Nyquist":[41],"sampling":[42,71,143],"rate":[43,72,144],"determined":[44],"by":[45],"bandwidth":[47],"waveform.":[50],"With":[51],"assumption":[53],"sparsity,":[55],"novel":[57,80],"compressive":[58],"sensing":[59],"(CS)-based":[60],"algorithms":[61,81,111],"are":[62],"proposed":[63,127],"recent":[65],"studies,":[66],"which":[67],"theoretically":[68],"reduce":[69],"but":[73,136],"preserve":[74],"same":[76],"accuracy.":[77],"Yet":[78],"these":[79],"often":[82],"suffer":[83],"the-so-called":[85],"off-the-grid":[86],"issue":[87,117],"(or":[88],"basis":[89],"mismatch)":[90],"do":[92],"not":[93,129],"perform":[94],"well":[96],"expectations.":[98],"This":[99],"letter":[100],"proposes":[101],"a":[102,132,140],"manifold-based":[103],"optimization":[104],"strategy":[105],"to":[106,114],"improve":[107,119],"CS-based":[109,149],"TDE":[110],"order":[113],"solve":[115],"this":[116],"accuracy":[122,135],"resolution.":[125],"algorithm":[128],"only":[130],"achieve":[131],"much":[133,141],"higher":[134],"also":[137],"works":[138],"lower":[142],"compared":[145],"with":[146],"state-of-the-art":[148],"algorithms.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}