{"id":"https://openalex.org/W32233592","doi":"https://doi.org/10.21437/icslp.1994-428","title":"Some fast higher order AR estimation techniques applied to parametric wiener filtering","display_name":"Some fast higher order AR estimation techniques applied to parametric wiener filtering","publication_year":1994,"publication_date":"1994-09-18","ids":{"openalex":"https://openalex.org/W32233592","doi":"https://doi.org/10.21437/icslp.1994-428","mag":"32233592"},"language":"en","primary_location":{"id":"doi:10.21437/icslp.1994-428","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1994-428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Conference on Spoken Language Processing (ICSLP 1994)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hdl.handle.net/2117/88456","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078624248","display_name":"Josep M. Salavedra","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Josep Salavedra","raw_affiliation_strings":["Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113695423","display_name":"Enrique Masgrau","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Enrique Masgrau","raw_affiliation_strings":["Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103640563","display_name":"A. Heredia Moreno","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Asuncidn Moreno","raw_affiliation_strings":["Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012898725","display_name":"J. Estarellas","orcid":null},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Joan Estarellas","raw_affiliation_strings":["Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN","institution_ids":["https://openalex.org/I255234318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025633053","display_name":"Javier Hernando","orcid":"https://orcid.org/0000-0002-1730-8154"},"institutions":[{"id":"https://openalex.org/I255234318","display_name":"Universidad de Zaragoza","ror":"https://ror.org/012a91z28","country_code":"ES","type":"education","lineage":["https://openalex.org/I255234318"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Javier Hernando","raw_affiliation_strings":["Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computers. Universidad de Zaragoza. Maria de Luna, 3. 50015-ZARAGOZA. SPAIN","institution_ids":["https://openalex.org/I255234318"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5078624248"],"corresponding_institution_ids":["https://openalex.org/I255234318"],"apc_list":null,"apc_paid":null,"fwci":0.5471,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61029003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1655","last_page":"1658"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9973999857902527,"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":0.9973999857902527,"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/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7696959972381592},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.7525171041488647},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6231645941734314},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.6207078099250793},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.6181852221488953},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.5778625011444092},{"id":"https://openalex.org/keywords/linear-prediction","display_name":"Linear prediction","score":0.5337162017822266},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5218300223350525},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5147557258605957},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4805912673473358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46596577763557434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4549840986728668},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.44410207867622375},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41876375675201416},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3706517517566681},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.27767398953437805},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.21362346410751343},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1790315806865692},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.17794951796531677}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7696959972381592},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.7525171041488647},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6231645941734314},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.6207078099250793},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.6181852221488953},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.5778625011444092},{"id":"https://openalex.org/C131109320","wikidata":"https://www.wikidata.org/wiki/Q581012","display_name":"Linear prediction","level":2,"score":0.5337162017822266},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5218300223350525},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5147557258605957},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4805912673473358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46596577763557434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4549840986728668},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.44410207867622375},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41876375675201416},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3706517517566681},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.27767398953437805},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.21362346410751343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1790315806865692},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.17794951796531677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.21437/icslp.1994-428","is_oa":false,"landing_page_url":"https://doi.org/10.21437/icslp.1994-428","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"3rd International Conference on Spoken Language Processing (ICSLP 1994)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/88456","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/88456","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:www.recercat.cat:2072/265756","is_oa":true,"landing_page_url":"http://hdl.handle.net/2117/88456","pdf_url":"http://hdl.handle.net/2117/88456","source":{"id":"https://openalex.org/S4306402147","display_name":"RECERCAT (Consorci de Serveis Universitaris de Catalunya)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210090028","host_organization_name":"Consorci de Serveis Universitaris de Catalunya","host_organization_lineage":["https://openalex.org/I4210090028"],"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":"","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/88456","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/88456","pdf_url":null,"source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1995536493","https://openalex.org/W2018388266","https://openalex.org/W2134733483","https://openalex.org/W2460783559","https://openalex.org/W2522833772","https://openalex.org/W2528990443","https://openalex.org/W4298293598"],"related_works":["https://openalex.org/W2591816639","https://openalex.org/W2363395155","https://openalex.org/W1986055485","https://openalex.org/W2276822462","https://openalex.org/W2094499330","https://openalex.org/W2117955483","https://openalex.org/W2010870899","https://openalex.org/W4233569334","https://openalex.org/W2401654980","https://openalex.org/W4390481568"],"abstract_inverted_index":{"Some":[0],"Speech":[1],"Enhancement":[2],"algorithms":[3,34],"based":[4],"on":[5],"the":[6,18,78,82],"iterative":[7],"Wiener":[8],"filtering":[9],"Method":[10],"due":[11],"to":[12,55,104,109],"L1m-Oppenheim":[13],"[2]":[14],"are":[15,48,53],"presented.":[16],"In":[17],"original":[19],"Lim-Oppenheim":[20],"algorithm,":[21],"speech":[22,45,114],"AR":[23,39,46,101],"estimation":[24,47],"is":[25,73,86],"carried":[26],"out":[27],"using":[28],"classic":[29],"second-order":[30,83],"analysis,":[31],"but":[32],"our":[33],"consider":[35],"a":[36,67,74,97,111],"more":[37],"robust":[38],"modelling.":[40],"Two":[41],"different":[42],"strategies":[43],"of":[44,60,92,100],"presented":[49],"and":[50,77],"both":[51],"estimators":[52],"trying":[54],"see":[56],"as":[57,62],"less":[58,112],"amount":[59],"noise":[61],"possible.":[63],"First":[64],"one":[65,89],"uses":[66],"previous":[68],"One-Sided":[69],"Autocorrelation":[70],"computation,":[71],"that":[72],"pole-preserving":[75],"function,":[76],"actual":[79],"SNR":[80],"m":[81],"LPC":[84],"analysis":[85],"increased.":[87],"Second":[88],"combines":[90],"advantages":[91],"Higher-Order":[93],"Statistics":[94],"[1]":[95],"with":[96],"linear":[98],"combination":[99],"coefficients,":[102],"belonging":[103],"two":[105],"consecutive":[106],"overlapped":[107],"frames,":[108],"assess":[110],"disturbed":[113],"estimation.":[115]},"counts_by_year":[],"updated_date":"2026-03-17T17:19:04.345684","created_date":"2025-10-10T00:00:00"}
