{"id":"https://openalex.org/W2584917874","doi":"https://doi.org/10.1109/icassp.1987.1169658","title":"Some properties of prediction and interpolation errors","display_name":"Some properties of prediction and interpolation errors","publication_year":2005,"publication_date":"2005-03-24","ids":{"openalex":"https://openalex.org/W2584917874","doi":"https://doi.org/10.1109/icassp.1987.1169658","mag":"2584917874"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.1987.1169658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-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/A5012854096","display_name":"B. Picinbono","orcid":"https://orcid.org/0000-0002-9356-3931"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"B. Picinbono","raw_affiliation_strings":["Laboratoire des signaux et Syst\u00e9mes, CNRS-E. S. E, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire des signaux et Syst\u00e9mes, CNRS-E. S. E, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210097418","https://openalex.org/I1294671590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057013689","display_name":"J.-M. Kerilis","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"funder","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210097418","display_name":"Laboratoire des signaux et syst\u00e8mes","ror":"https://ror.org/00skw9v43","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I277688954","https://openalex.org/I277688954","https://openalex.org/I4210097418","https://openalex.org/I4210107720"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"J. Kerilis","raw_affiliation_strings":["Laboratoire des signaux et Syst\u00e9mes, CNRS-E. S. E, Gif-sur-Yvette, France"],"affiliations":[{"raw_affiliation_string":"Laboratoire des signaux et Syst\u00e9mes, CNRS-E. S. E, Gif-sur-Yvette, France","institution_ids":["https://openalex.org/I4210097418","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012854096"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210097418"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37237985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":null,"first_page":"348","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9977999925613403,"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":0.9977999925613403,"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/T11034","display_name":"Digital Filter Design and Implementation","score":0.9977999925613403,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9976000189781189,"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/interpolation","display_name":"Interpolation (computer graphics)","score":0.8500192165374756},{"id":"https://openalex.org/keywords/linear-interpolation","display_name":"Linear interpolation","score":0.6603045463562012},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5605369210243225},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5227972865104675},{"id":"https://openalex.org/keywords/bilinear-interpolation","display_name":"Bilinear interpolation","score":0.5112411975860596},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5060946345329285},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5023407936096191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4856211245059967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45431989431381226},{"id":"https://openalex.org/keywords/singular-spectrum-analysis","display_name":"Singular spectrum analysis","score":0.4247668385505676},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.4196532964706421},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3883264660835266},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.192152202129364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17167681455612183},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15071967244148254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.12876030802726746},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.12656539678573608}],"concepts":[{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.8500192165374756},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.6603045463562012},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5605369210243225},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5227972865104675},{"id":"https://openalex.org/C205203396","wikidata":"https://www.wikidata.org/wiki/Q612143","display_name":"Bilinear interpolation","level":2,"score":0.5112411975860596},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5060946345329285},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5023407936096191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4856211245059967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45431989431381226},{"id":"https://openalex.org/C136272165","wikidata":"https://www.wikidata.org/wiki/Q4048889","display_name":"Singular spectrum analysis","level":3,"score":0.4247668385505676},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.4196532964706421},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3883264660835266},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.192152202129364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17167681455612183},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15071967244148254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.12876030802726746},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.12656539678573608},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.1987.1169658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.1987.1169658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP '87. IEEE International Conference on Acoustics, Speech, and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1966264494","https://openalex.org/W1980687209","https://openalex.org/W2045463928","https://openalex.org/W2087219972","https://openalex.org/W2135035121","https://openalex.org/W2143587486","https://openalex.org/W2151126288","https://openalex.org/W2162443378","https://openalex.org/W2167208435","https://openalex.org/W2315686610","https://openalex.org/W2588572797","https://openalex.org/W3038165843","https://openalex.org/W4234225207","https://openalex.org/W4241158871","https://openalex.org/W4388534025","https://openalex.org/W7043141852"],"related_works":["https://openalex.org/W2382426030","https://openalex.org/W4303468906","https://openalex.org/W1479673685","https://openalex.org/W2075020252","https://openalex.org/W2142192217","https://openalex.org/W2119318777","https://openalex.org/W2373827582","https://openalex.org/W2355602298","https://openalex.org/W1774861180","https://openalex.org/W1980179830"],"abstract_inverted_index":{"Linear":[0],"prediction":[1,22,53],"and":[2,20,23,54,82],"interpolation":[3,24,55],"are":[4,12,38,75],"widely":[5],"used":[6],"in":[7],"signal":[8,41],"processing.":[9],"Usually":[10],"they":[11],"obtained":[13,71],"by":[14],"linear":[15],"filters":[16],"of":[17,35,69],"finite":[18],"memory,":[19],"the":[21,32,40,52,78],"errors":[25,37,56],"decrease":[26],"when":[27],"this":[28,45,73],"memory":[29],"increases.":[30],"If":[31],"asymptotic":[33],"values":[34],"these":[36],"nul,":[39],"is":[42,64],"singular.":[43],"In":[44],"paper":[46],"a":[47,60],"numerical":[48],"method":[49,74],"to":[50],"compute":[51],"for":[57],"signals":[58],"with":[59,72],"given":[61],"power":[62],"spectrum":[63],"presented.":[65],"A":[66],"large":[67],"number":[68],"results":[70],"discussed,":[76],"especially":[77],"difference":[79],"between":[80],"regular":[81],"singular":[83],"signals.":[84]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
