{"id":"https://openalex.org/W2112464782","doi":"https://doi.org/10.1109/tassp.1986.1164824","title":"Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes","display_name":"Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes","publication_year":1986,"publication_date":"1986-04-01","ids":{"openalex":"https://openalex.org/W2112464782","doi":"https://doi.org/10.1109/tassp.1986.1164824","mag":"2112464782"},"language":"en","primary_location":{"id":"doi:10.1109/tassp.1986.1164824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1986.1164824","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Acoustics, Speech, and Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://research.tue.nl/en/publications/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110900927","display_name":"A. J. E. M. Janssen","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["FI","NL"],"is_corresponding":true,"raw_author_name":"A. Janssen","raw_affiliation_strings":["Philips Research Laboratories, Eindhoven, Netherlands","Philips' Research Laboratories, Eindhoven-Netherlands"],"affiliations":[{"raw_affiliation_string":"Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]},{"raw_affiliation_string":"Philips' Research Laboratories, Eindhoven-Netherlands","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031138348","display_name":"Raymond Veldhuis","orcid":"https://orcid.org/0000-0002-0381-5235"},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["FI","NL"],"is_corresponding":false,"raw_author_name":"R. Veldhuis","raw_affiliation_strings":["Philips Research Laboratories, Eindhoven, Netherlands","Philips' Research Laboratories, Eindhoven-Netherlands"],"affiliations":[{"raw_affiliation_string":"Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]},{"raw_affiliation_string":"Philips' Research Laboratories, Eindhoven-Netherlands","institution_ids":["https://openalex.org/I1329325741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113509956","display_name":"L. Vries","orcid":null},"institutions":[{"id":"https://openalex.org/I1329325741","display_name":"Philips (Finland)","ror":"https://ror.org/01g4jev56","country_code":"FI","type":"company","lineage":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"]},{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["FI","NL"],"is_corresponding":false,"raw_author_name":"L. Vries","raw_affiliation_strings":["Philips Research Laboratories, Eindhoven, Netherlands","Philips' Research Laboratories, Eindhoven-Netherlands"],"affiliations":[{"raw_affiliation_string":"Philips Research Laboratories, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I4210122849"]},{"raw_affiliation_string":"Philips' Research Laboratories, Eindhoven-Netherlands","institution_ids":["https://openalex.org/I1329325741"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110900927"],"corresponding_institution_ids":["https://openalex.org/I1329325741","https://openalex.org/I4210122849"],"apc_list":null,"apc_paid":null,"fwci":3.1225,"has_fulltext":true,"cited_by_count":168,"citation_normalized_percentile":{"value":0.91763405,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"2","first_page":"317","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9988999962806702,"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":0.9988999962806702,"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/T12300","display_name":"Advanced Electrical Measurement Techniques","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.8839787244796753},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.625174880027771},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6084865927696228},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5845697522163391},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5398098826408386},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4566141963005066},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4371797442436218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4364451766014099},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4161268472671509},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3596656620502472},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3417948782444},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3277304768562317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10240009427070618}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.8839787244796753},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.625174880027771},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6084865927696228},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5845697522163391},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5398098826408386},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4566141963005066},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4371797442436218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4364451766014099},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4161268472671509},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3596656620502472},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3417948782444},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3277304768562317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10240009427070618},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tassp.1986.1164824","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tassp.1986.1164824","pdf_url":null,"source":{"id":"https://openalex.org/S98930721","display_name":"IEEE Transactions on Acoustics Speech and Signal Processing","issn_l":"0096-3518","issn":["0096-3518"],"is_oa":false,"is_in_doaj":false,"is_core":false,"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 Acoustics, Speech, and Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:pure.tue.nl:openaire/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Janssen, A J E M, Veldhuis, R N J & Vries, L B 1986, 'Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes', IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 34, no. 2, pp. 317-330. https://doi.org/10.1109/TASSP.1986.1164824","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/7c141bc3-eee7-4786-8900-e0f36c6c7886","is_oa":true,"landing_page_url":"https://research.utwente.nl/en/publications/7c141bc3-eee7-4786-8900-e0f36c6c7886","pdf_url":"https://ris.utwente.nl/ws/files/7014985/adaptive.pdf","source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Janssen, A J E M, Veldhuis, R N J & Vries, L B 1986, 'Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes', IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 34, no. 2, pp. 317-330.","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:672571","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=672571","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:0096-3518","raw_type":"Article / Letter to the editor"},{"id":"pmh:oai:library.tue.nl:672571","is_oa":false,"landing_page_url":"http://repository.tue.nl/672571","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:0096-3518","raw_type":"Article / Letter to the editor"},{"id":"pmh:tue:oai:pure.tue.nl:publications/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","is_oa":true,"landing_page_url":"https://research.tue.nl/nl/publications/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Acoustics, Speech, and Signal Processing, 34(2), 317 - 330. Institute of Electrical and Electronics Engineers","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.tue.nl:openaire/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/dde48849-e20c-4ab5-bbbf-ddc5c3615c5e","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Janssen, A J E M, Veldhuis, R N J & Vries, L B 1986, 'Adaptive interpolation of discrete-time signals that can be modeled as autoregressive processes', IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 34, no. 2, pp. 317-330. https://doi.org/10.1109/TASSP.1986.1164824","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W141418607","https://openalex.org/W317397600","https://openalex.org/W1587896874","https://openalex.org/W1980687209","https://openalex.org/W1984268989","https://openalex.org/W1995432522","https://openalex.org/W2010355946","https://openalex.org/W2013737143","https://openalex.org/W2014921032","https://openalex.org/W2031887434","https://openalex.org/W2035870945","https://openalex.org/W2041364558","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2069501481","https://openalex.org/W2105442514","https://openalex.org/W2142635246","https://openalex.org/W2152340565","https://openalex.org/W2162443378","https://openalex.org/W2326591006","https://openalex.org/W3035139526","https://openalex.org/W3094114204","https://openalex.org/W6779487094"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W2150410159","https://openalex.org/W1972271943","https://openalex.org/W2560215812","https://openalex.org/W3150905897","https://openalex.org/W4327525404","https://openalex.org/W2949601986","https://openalex.org/W4287185323","https://openalex.org/W2788972299","https://openalex.org/W1520183331"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,118],"adaptive":[4],"algorithm":[5],"for":[6,84,148],"the":[7,31,34,57,64,69,76,90,99,103,114,127,131,138,142],"restoration":[8],"of":[9,23,33,51,56,66,68,75,87,117,130,144],"lost":[10,88],"sample":[11,96],"values":[12],"in":[13,46,112,121,123,146],"discrete-time":[14],"signals":[15],"that":[16,30,41,72],"can":[17],"locally":[18],"be":[19,38,44],"described":[20],"by":[21,62],"means":[22],"autoregressive":[24,77],"processes.":[25],"The":[26,54,109,153],"only":[27],"restrictions":[28],"are":[29,60,134],"positions":[32],"unknown":[35,58],"samples":[36,59,133],"should":[37,43],"known":[39,52],"and":[40,169],"they":[42],"embedded":[45],"a":[47,85],"sufficiently":[48],"large":[49],"neighborhood":[50],"samples.":[53],"estimates":[55,74,129],"obtained":[61],"minimizing":[63],"sum":[65],"squares":[67],"residual":[70],"errors":[71],"involve":[73],"parameters.":[78],"A":[79],"statistical":[80],"analysis":[81],"shows":[82],"that,":[83],"burst":[86,104],"samples,":[89],"expected":[91],"quadratic":[92],"interpolation":[93],"error":[94],"per":[95],"converges":[97],"to":[98,107,136],"signal":[100],"variance":[101],"when":[102],"length":[105],"tends":[106],"infinity.":[108],"method":[110,154],"is":[111,151],"fact":[113],"first":[115],"step":[116,126],"iterative":[119],"algorithm,":[120],"which":[122],"each":[124],"iteration":[125],"current":[128],"missing":[132],"used":[135],"compute":[137],"new":[139],"estimates.":[140],"Furthermore,":[141],"feasibility":[143],"implementation":[145],"hardware":[147],"real-time":[149],"use":[150],"established.":[152],"has":[155],"been":[156],"tested":[157],"on":[158,166],"artificially":[159],"generated":[160],"auto-regressive":[161],"processes":[162],"as":[163,165],"well":[164],"digitized":[167],"music":[168],"speech":[170],"signals.":[171]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}