{"id":"https://openalex.org/W2130537519","doi":"https://doi.org/10.1109/icassp.2009.4959540","title":"New insights into non-causal multichannel linear filtering for noise reduction","display_name":"New insights into non-causal multichannel linear filtering for noise reduction","publication_year":2009,"publication_date":"2009-04-01","ids":{"openalex":"https://openalex.org/W2130537519","doi":"https://doi.org/10.1109/icassp.2009.4959540","mag":"2130537519"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2009.4959540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 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/A5041575981","display_name":"Mehrez Souden","orcid":null},"institutions":[{"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":true,"raw_author_name":"Mehrez Souden","raw_affiliation_strings":["INRS-\u00e9MT, Montreal, QUE, Canada","[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]"],"affiliations":[{"raw_affiliation_string":"INRS-\u00e9MT, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]","institution_ids":["https://openalex.org/I39481719"]}]},{"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/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-\u00e9MT, Montreal, QUE, Canada","[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]"],"affiliations":[{"raw_affiliation_string":"INRS-\u00e9MT, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]","institution_ids":["https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076850812","display_name":"Sofi\u00e8ne Affes","orcid":"https://orcid.org/0000-0002-1729-3503"},"institutions":[{"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":"Sofiene Affes","raw_affiliation_strings":["INRS-\u00e9MT, Montreal, QUE, Canada","[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]"],"affiliations":[{"raw_affiliation_string":"INRS-\u00e9MT, Montreal, QUE, Canada","institution_ids":["https://openalex.org/I39481719"]},{"raw_affiliation_string":"[INRS- \u00c9MT, 800, de la Gaucheti\u00e8re Ouest, Suite 6900, Montr\u00e9al, H5A 1K6, Qc, Canada]","institution_ids":["https://openalex.org/I39481719"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5041575981"],"corresponding_institution_ids":["https://openalex.org/I39481719"],"apc_list":null,"apc_paid":null,"fwci":1.4099,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.81470708,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"84","issue":null,"first_page":"141","last_page":"144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9993000030517578,"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/noise-reduction","display_name":"Noise reduction","score":0.7514456510543823},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.7025505304336548},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6528762578964233},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.6012700796127319},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.5847814083099365},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5626529455184937},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4943063259124756},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.49045035243034363},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.4806005656719208},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4740597605705261},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4552459120750427},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.45284759998321533},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4432186484336853},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4420248568058014},{"id":"https://openalex.org/keywords/gradient-noise","display_name":"Gradient noise","score":0.4262411296367645},{"id":"https://openalex.org/keywords/value-noise","display_name":"Value noise","score":0.4170278012752533},{"id":"https://openalex.org/keywords/noise-floor","display_name":"Noise floor","score":0.33282142877578735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26859280467033386},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21473291516304016},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.14277201890945435},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07018980383872986}],"concepts":[{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.7514456510543823},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.7025505304336548},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6528762578964233},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.6012700796127319},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.5847814083099365},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5626529455184937},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4943063259124756},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.49045035243034363},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.4806005656719208},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4740597605705261},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4552459120750427},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.45284759998321533},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4432186484336853},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4420248568058014},{"id":"https://openalex.org/C200378446","wikidata":"https://www.wikidata.org/wiki/Q4147391","display_name":"Gradient noise","level":5,"score":0.4262411296367645},{"id":"https://openalex.org/C182163834","wikidata":"https://www.wikidata.org/wiki/Q2926529","display_name":"Value noise","level":5,"score":0.4170278012752533},{"id":"https://openalex.org/C187612029","wikidata":"https://www.wikidata.org/wiki/Q17083130","display_name":"Noise floor","level":4,"score":0.33282142877578735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26859280467033386},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21473291516304016},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14277201890945435},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07018980383872986},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"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/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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2009.4959540","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2009.4959540","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Acoustics, Speech and Signal Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W17114483","https://openalex.org/W1495679096","https://openalex.org/W1976805820","https://openalex.org/W2039553327","https://openalex.org/W2061074721","https://openalex.org/W2101609516","https://openalex.org/W2112469598","https://openalex.org/W2113131123","https://openalex.org/W2113969889","https://openalex.org/W2117678320","https://openalex.org/W2147665979","https://openalex.org/W2168729028","https://openalex.org/W4245919820","https://openalex.org/W6600690258"],"related_works":["https://openalex.org/W3125397569","https://openalex.org/W2032021057","https://openalex.org/W2588855097","https://openalex.org/W2057119739","https://openalex.org/W4315777920","https://openalex.org/W2145562745","https://openalex.org/W1643908042","https://openalex.org/W2162374031","https://openalex.org/W2001322638","https://openalex.org/W2545661456"],"abstract_inverted_index":{"We":[0],"investigate":[1],"a":[2,65],"general":[3],"framework":[4],"for":[5,29,113],"noise":[6,35,94,122,136],"reduction":[7,36,123,137],"which":[8],"consists":[9],"in":[10,141],"controlling":[11],"the":[12,19,31,58,69,76,80,88,91,100,117,121,126,133,142],"level":[13,20],"of":[14,21,68,79,90],"signal":[15,32,118],"distortion":[16,33,119,140],"while":[17],"reducing":[18],"noise.":[22],"A":[23],"parameterized":[24,45],"non-causal":[25,47],"filter":[26,49],"that":[27],"allows":[28],"tuning":[30],"and":[34,40,82,86,93,102,125,131,138],"inversely":[37],"is":[38,41],"obtained":[39],"referred":[42],"to":[43,57,73],"as":[44,64],"multichannel":[46,143],"Wiener":[48],"(PMWF)":[50],"herein.":[51],"The":[52],"same":[53],"optimization":[54],"problem":[55],"leads":[56],"minimum":[59],"variance":[60],"distortionless":[61],"response":[62],"(MVDR)":[63],"particular":[66],"case":[67],"PMWF.":[70],"In":[71],"contrast":[72],"earlier":[74],"works,":[75],"proposed":[77],"expressions":[78,112],"PMWF":[81],"MVDR":[83],"are":[84],"simplified":[85,110],"require":[87],"knowledge":[89],"speech":[92,139],"statistics":[95],"only.":[96],"To":[97],"rigorously":[98],"quantify":[99],"gains":[101],"losses":[103],"when":[104],"using":[105],"these":[106],"filters,":[107],"we":[108],"establish":[109],"closed-form":[111],"three":[114],"measures,":[115],"namely,":[116],"index,":[120],"factor,":[124],"output":[127],"signal-to-noise":[128],"ratio":[129],"(SNR),":[130],"highlight":[132],"tradeoff":[134],"between":[135],"case.":[144]},"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"}
