{"id":"https://openalex.org/W2987044972","doi":"https://doi.org/10.1109/tsp.2019.2951229","title":"Inhomogeneous Template Adaptation of Temporal Quasi-Periodic Three-Dimensional Signals","display_name":"Inhomogeneous Template Adaptation of Temporal Quasi-Periodic Three-Dimensional Signals","publication_year":2019,"publication_date":"2019-11-04","ids":{"openalex":"https://openalex.org/W2987044972","doi":"https://doi.org/10.1109/tsp.2019.2951229","mag":"2987044972"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2019.2951229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2951229","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/A5072118436","display_name":"Filip Karisik","orcid":"https://orcid.org/0000-0002-1393-4203"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Filip Karisik","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019062400","display_name":"Mathias Baumert","orcid":"https://orcid.org/0000-0003-2984-2167"},"institutions":[{"id":"https://openalex.org/I5681781","display_name":"University of Adelaide","ror":"https://ror.org/00892tw58","country_code":"AU","type":"education","lineage":["https://openalex.org/I5681781"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mathias Baumert","raw_affiliation_strings":["School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia","institution_ids":["https://openalex.org/I5681781"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072118436"],"corresponding_institution_ids":["https://openalex.org/I5681781"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55139366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"67","issue":"23","first_page":"6067","last_page":"6077"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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"}},"topics":[{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9980999827384949,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.98580002784729,"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/T10320","display_name":"Neural Networks and Applications","score":0.9745000004768372,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6870350241661072},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.6486108899116516},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.6187988519668579},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6089560985565186},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.603222131729126},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.5136808753013611},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48792263865470886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4319690763950348},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.42985352873802185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42156392335891724},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2516602873802185},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23772627115249634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6870350241661072},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.6486108899116516},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.6187988519668579},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6089560985565186},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.603222131729126},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.5136808753013611},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48792263865470886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4319690763950348},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.42985352873802185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42156392335891724},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2516602873802185},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23772627115249634},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/tsp.2019.2951229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2019.2951229","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"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5799999833106995}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W824892955","https://openalex.org/W1975997711","https://openalex.org/W1976756294","https://openalex.org/W1978164984","https://openalex.org/W1985586071","https://openalex.org/W1996670284","https://openalex.org/W1999784185","https://openalex.org/W2019787708","https://openalex.org/W2036176920","https://openalex.org/W2037357509","https://openalex.org/W2049981393","https://openalex.org/W2053834050","https://openalex.org/W2064198982","https://openalex.org/W2067149824","https://openalex.org/W2082908671","https://openalex.org/W2086544244","https://openalex.org/W2088331993","https://openalex.org/W2088720900","https://openalex.org/W2098651122","https://openalex.org/W2102769353","https://openalex.org/W2112577139","https://openalex.org/W2113117388","https://openalex.org/W2117695256","https://openalex.org/W2122336437","https://openalex.org/W2128409098","https://openalex.org/W2138579801","https://openalex.org/W2140139548","https://openalex.org/W2142853128","https://openalex.org/W2150750889","https://openalex.org/W2150823344","https://openalex.org/W2154894965","https://openalex.org/W2155185020","https://openalex.org/W2155339399","https://openalex.org/W2156875677","https://openalex.org/W2162800060","https://openalex.org/W2163042593","https://openalex.org/W2168029744","https://openalex.org/W2256815008","https://openalex.org/W2271206385","https://openalex.org/W2597187707","https://openalex.org/W2888642119","https://openalex.org/W4236288244","https://openalex.org/W4242607850","https://openalex.org/W4250310797","https://openalex.org/W6623222773","https://openalex.org/W6676704676"],"related_works":["https://openalex.org/W2051058708","https://openalex.org/W1494268238","https://openalex.org/W154868527","https://openalex.org/W1983207144","https://openalex.org/W2490706771","https://openalex.org/W2480116122","https://openalex.org/W4255576661","https://openalex.org/W1516574938","https://openalex.org/W2563912921","https://openalex.org/W2407611282"],"abstract_inverted_index":{"We":[0,103],"propose":[1],"a":[2,43,49,63,72,79,131,144],"novel":[3],"framework":[4,97,110,122,164],"for":[5,71,84],"performing":[6],"inhomogeneous":[7],"template":[8,75],"adaptation":[9,76],"on":[10,130,143],"temporal":[11],"three-dimensional":[12,135,167],"data.":[13],"Templates":[14],"of":[15,30,107,119,127],"interest":[16],"are":[17],"first":[18],"globally":[19,35],"translated,":[20],"scaled":[21],"and":[22],"rotated":[23],"using":[24,48,111,170],"statistical":[25],"methods":[26],"in":[27,89,155],"the":[28,38,96,105,108,117,120,162,171],"form":[29],"Procrustes":[31],"analysis.":[32],"In":[33],"this":[34],"adapted":[36],"form,":[37],"data":[39],"is":[40,59],"parameterized":[41,57],"to":[42,62,94,123,151,165],"minimum":[44],"bounding":[45],"rectangular":[46],"prism":[47],"parameterization":[50],"method":[51],"known":[52],"as":[53],"free-form":[54],"deformation.":[55],"The":[56],"model":[58],"then":[60],"reduced":[61],"linear":[64],"least":[65],"squares":[66],"problem,":[67],"which":[68],"subsequently":[69],"allows":[70],"robust":[73],"local":[74],"scheme":[77],"utilizing":[78],"non-parametric":[80],"formulation.":[81],"To":[82],"account":[83],"complex":[85],"noise":[86,101],"behaviour":[87],"encountered":[88],"quasi-periodic":[90],"signals,":[91],"we":[92,115,139,160],"ensue":[93],"complete":[95],"with":[98],"an":[99],"adaptive":[100],"model.":[102],"demonstrate":[104,152],"power":[106],"proposed":[109,121,163],"three":[112],"applications:":[113],"firstly,":[114],"quantify":[116],"ability":[118],"track":[124,140],"geometric":[125],"features":[126,142],"heart":[128,156],"disease":[129,157],"synthetic":[132],"dataset":[133,148],"containing":[134],"electrocardiogram":[136],"signals.":[137],"Next":[138],"these":[141],"publicly":[145,172],"available":[146,173],"real":[147],"(PTB":[149],"database)":[150],"its":[153],"potential":[154],"diagnostics.":[158],"Lastly,":[159],"apply":[161],"map":[166],"velocity":[168],"profiles":[169],"Complex":[174],"Upper-Limb":[175],"Movements":[176],"database.":[177]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}