{"id":"https://openalex.org/W2059080554","doi":"https://doi.org/10.1109/icassp.2010.5496034","title":"Analysis of the frequency-domain Wiener filter with the prediction gain","display_name":"Analysis of the frequency-domain Wiener filter with the prediction gain","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2059080554","doi":"https://doi.org/10.1109/icassp.2010.5496034","mag":"2059080554"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2010.5496034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["WeVoice,  Inc., Bridgewater, NJ, USA","WeVoice, Inc., 9 Sylvan Dr., Bridgewater, NJ 08807, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WeVoice,  Inc., Bridgewater, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"WeVoice, Inc., 9 Sylvan Dr., Bridgewater, NJ 08807, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071376063","display_name":"Jacob Benesty","orcid":"https://orcid.org/0000-0002-0036-5865"},"institutions":[{"id":"https://openalex.org/I159129438","display_name":"Universit\u00e9 du Qu\u00e9bec \u00e0 Montr\u00e9al","ror":"https://ror.org/002rjbv21","country_code":"CA","type":"education","lineage":["https://openalex.org/I159129438","https://openalex.org/I49663120"]},{"id":"https://openalex.org/I39481719","display_name":"Institut National de la Recherche Scientifique","ror":"https://ror.org/04td37d32","country_code":"CA","type":"education","lineage":["https://openalex.org/I39481719","https://openalex.org/I49663120"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, QUE, Canada","INRS-EMT, University of Quebec, 800 de la Gaucheti\u00e8re Ouest, Suite 6900, Montreal, H5A 1K6, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]},{"raw_affiliation_string":"INRS-EMT, University of Quebec, 800 de la Gaucheti\u00e8re Ouest, Suite 6900, Montreal, H5A 1K6, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102111886","display_name":"Yiteng Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiteng Huang","raw_affiliation_strings":["WeVoice,  Inc., Bridgewater, NJ, USA","WeVoice, Inc., 9 Sylvan Dr., Bridgewater, NJ 08807, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"WeVoice,  Inc., Bridgewater, NJ, USA","institution_ids":[]},{"raw_affiliation_string":"WeVoice, Inc., 9 Sylvan Dr., Bridgewater, NJ 08807, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3201,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48549599,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":null,"first_page":"209","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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":0.9995999932289124,"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/T10822","display_name":"Acoustic Wave Phenomena Research","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/wiener-filter","display_name":"Wiener filter","score":0.8134007453918457},{"id":"https://openalex.org/keywords/wiener-deconvolution","display_name":"Wiener deconvolution","score":0.600244402885437},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5887094736099243},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.568794310092926},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5687093734741211},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5489790439605713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5428606867790222},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5309873223304749},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4759925603866577},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.4469708502292633},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4294964373111725},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.42804449796676636},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.41321861743927},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3585355281829834},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3339788615703583},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22846397757530212},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2104436755180359},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15884050726890564},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.0833061933517456},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.05580785870552063}],"concepts":[{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.8134007453918457},{"id":"https://openalex.org/C15652857","wikidata":"https://www.wikidata.org/wiki/Q599016","display_name":"Wiener deconvolution","level":4,"score":0.600244402885437},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5887094736099243},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.568794310092926},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5687093734741211},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5489790439605713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428606867790222},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5309873223304749},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4759925603866577},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.4469708502292633},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4294964373111725},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.42804449796676636},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.41321861743927},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3585355281829834},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3339788615703583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22846397757530212},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2104436755180359},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15884050726890564},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0833061933517456},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.05580785870552063},{"id":"https://openalex.org/C30044814","wikidata":"https://www.wikidata.org/wiki/Q11334452","display_name":"Blind deconvolution","level":3,"score":0.0},{"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/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2010.5496034","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2010.5496034","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7300000190734863,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W317957491","https://openalex.org/W1492221128","https://openalex.org/W1999542175","https://openalex.org/W2048916503","https://openalex.org/W2077804127","https://openalex.org/W2113131123","https://openalex.org/W2116379893","https://openalex.org/W2186435531","https://openalex.org/W2914048585","https://openalex.org/W6629420886","https://openalex.org/W6758698360","https://openalex.org/W7074573835"],"related_works":["https://openalex.org/W2591816639","https://openalex.org/W2117955483","https://openalex.org/W2010870899","https://openalex.org/W2401654980","https://openalex.org/W4233569334","https://openalex.org/W2098233558","https://openalex.org/W2603372748","https://openalex.org/W2789485788","https://openalex.org/W4312751558","https://openalex.org/W1564179349"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"theoretical":[4],"analysis":[5],"on":[6],"the":[7,10,15,19,26,33,36,40,44,58,65,69,74,77,83,91,95,102,115,118,138,142],"performance":[8,116],"of":[9,43,68,94,117,123,128,141],"optimal":[11],"noise-reduction":[12],"filter":[13,38,60,85,120],"in":[14,121],"frequency":[16],"domain.":[17],"Using":[18],"autoregressive":[20],"(AR)":[21],"model":[22,24],"to":[23,64,90,137],"both":[25],"clean":[27,45],"speech":[28,46,71,107,132,144],"and":[29,39,47,109,112,126,131,145],"noise,":[30],"we":[31,100],"build":[32],"relationship":[34],"between":[35],"Wiener":[37,59,84,119],"AR":[41,66,92],"parameters":[42,67,93],"noise":[48,54,96,105,129,146],"signals.":[49,147],"We":[50],"show":[51,113],"that":[52,114],"if":[53,76],"is":[55,61,80,86,134],"not":[56,81],"predictable,":[57,82],"mostly":[62,88],"related":[63,89,136],"desired":[70,78,143],"signal.":[72,97],"On":[73],"contrary,":[75],"signal":[79],"then":[87],"More":[98],"importantly,":[99],"provide":[101],"bounds":[103],"for":[104],"reduction,":[106],"distortion,":[108],"SNR":[110,124],"improvement,":[111],"terms":[122],"improvement":[125],"degree":[127],"reduction":[130],"distortion":[133],"closely":[135],"prediction":[139],"gain":[140]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}