{"id":"https://openalex.org/W3012235493","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023238","title":"Fast &amp; Efficient Delay Estimation Using Local All-Pass &amp; Kalman Filters","display_name":"Fast &amp; Efficient Delay Estimation Using Local All-Pass &amp; Kalman Filters","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3012235493","doi":"https://doi.org/10.1109/apsipaasc47483.2019.9023238","mag":"3012235493"},"language":"en","primary_location":{"id":"doi:10.1109/apsipaasc47483.2019.9023238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025470623","display_name":"Beth Jelfs","orcid":"https://orcid.org/0000-0002-6844-7154"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Beth Jelfs","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019026432","display_name":"Christopher Gilliam","orcid":"https://orcid.org/0000-0002-6730-8419"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Christopher Gilliam","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"29","issue":null,"first_page":"1533","last_page":"1539"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9995999932289124,"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":0.9991999864578247,"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/T11236","display_name":"Control Systems and Identification","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/kalman-filter","display_name":"Kalman filter","score":0.8447208404541016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855698823928833},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6247260570526123},{"id":"https://openalex.org/keywords/fast-kalman-filter","display_name":"Fast Kalman filter","score":0.5126025080680847},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.49353063106536865},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.4753703474998474},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.47081929445266724},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.41034454107284546},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3784496784210205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1684376299381256},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15206307172775269}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8447208404541016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855698823928833},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6247260570526123},{"id":"https://openalex.org/C150679823","wikidata":"https://www.wikidata.org/wiki/Q5436946","display_name":"Fast Kalman filter","level":4,"score":0.5126025080680847},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.49353063106536865},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.4753703474998474},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.47081929445266724},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.41034454107284546},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3784496784210205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1684376299381256},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15206307172775269},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","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":3,"locations":[{"id":"doi:10.1109/apsipaasc47483.2019.9023238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apsipaasc47483.2019.9023238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11256353040001341","is_oa":false,"landing_page_url":"https://doi.org/10.1109/APSIPAASC47483.2019.9023238","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27585093","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27585093","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W247073382","https://openalex.org/W1014278404","https://openalex.org/W1967088701","https://openalex.org/W2020968226","https://openalex.org/W2054001002","https://openalex.org/W2055762251","https://openalex.org/W2064937482","https://openalex.org/W2105934661","https://openalex.org/W2122635992","https://openalex.org/W2138690852","https://openalex.org/W2148752651","https://openalex.org/W2221889574","https://openalex.org/W2293728320","https://openalex.org/W2579673364","https://openalex.org/W2765307985","https://openalex.org/W2922160487","https://openalex.org/W6696979037"],"related_works":["https://openalex.org/W2182059946","https://openalex.org/W1580685205","https://openalex.org/W2320496747","https://openalex.org/W1488420340","https://openalex.org/W2164174227","https://openalex.org/W4206770590","https://openalex.org/W2375426323","https://openalex.org/W2363340733","https://openalex.org/W2349716249","https://openalex.org/W2103062922"],"abstract_inverted_index":{"Delay":[0],"estimation":[1,30,40,59],"is":[2,16,61],"a":[3,55,76],"common":[4],"problem":[5],"in":[6,91],"signal":[7],"processing":[8],"which":[9,60],"becomes":[10],"particularly":[11],"challenging":[12],"when":[13],"the":[14,19,85,92,111,114],"delay":[15,28],"time-varying":[17,27],"and":[18,41,104],"recorded":[20],"signals":[21],"are":[22,35,43],"non-stationary.":[23],"While":[24],"methods":[25],"for":[26,57,63,102],"(TVD)":[29],"exist":[31],"many":[32],"of":[33,87,113],"these":[34],"based":[36],"on":[37],"maximum":[38],"likelihood":[39],"thus":[42],"not":[44],"well":[45],"suited":[46],"to":[47,83],"real-time":[48,64],"implementation.":[49],"In":[50],"this":[51],"paper":[52],"we":[53,95],"present":[54],"method":[56,69],"TVD":[58],"suitable":[62],"non-stationary":[65],"applications.":[66],"The":[67],"proposed":[68,115],"combines":[70],"local":[71],"all-pass":[72],"(LAP)":[73],"filters":[74,90],"with":[75],"Kalman":[77,93],"filter.":[78],"By":[79],"using":[80],"measurement":[81],"fusion":[82],"combine":[84],"outputs":[86],"several":[88],"LAP":[89],"filter":[94],"can":[96],"accurately":[97],"track":[98],"TVDs":[99],"whilst":[100],"allowing":[101],"fast":[103],"efficient":[105],"parallel":[106],"computation.":[107],"Illustrative":[108],"simulations":[109],"demonstrate":[110],"effectiveness":[112],"approach.":[116]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
