{"id":"https://openalex.org/W2563185449","doi":"https://doi.org/10.1109/eusipco.2016.7760590","title":"Single-channel noise reduction in the STFT domain from the fullband output SNR perspective","display_name":"Single-channel noise reduction in the STFT domain from the fullband output SNR perspective","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2563185449","doi":"https://doi.org/10.1109/eusipco.2016.7760590","mag":"2563185449"},"language":"en","primary_location":{"id":"doi:10.1109/eusipco.2016.7760590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","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/A5058694101","display_name":"Yingke Zhao","orcid":"https://orcid.org/0000-0003-3059-202X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingke Zhao","raw_affiliation_strings":["CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]},{"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"]},{"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"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Benesty","raw_affiliation_strings":["INRS-EMT, University of Quebec, Montreal, QC, Canada"],"affiliations":[{"raw_affiliation_string":"INRS-EMT, University of Quebec, Montreal, QC, Canada","institution_ids":["https://openalex.org/I159129438","https://openalex.org/I39481719"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056129529","display_name":"Jingdong Chen","orcid":"https://orcid.org/0000-0003-0083-9247"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingdong Chen","raw_affiliation_strings":["CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"CIAIC, Northwestern Polytechnical University, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5058694101"],"corresponding_institution_ids":["https://openalex.org/I17145004"],"apc_list":null,"apc_paid":null,"fwci":0.5101,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.66901532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1956","last_page":"1959"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9983000159263611,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"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/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.7726502418518066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.642345666885376},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6013185381889343},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5897772908210754},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5733126401901245},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.5598322749137878},{"id":"https://openalex.org/keywords/wiener-filter","display_name":"Wiener filter","score":0.5442020297050476},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.544102668762207},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.540132999420166},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5348429083824158},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.46036967635154724},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.45589426159858704},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24872341752052307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2176688015460968},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.138546884059906},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.12988975644111633},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08897024393081665}],"concepts":[{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.7726502418518066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.642345666885376},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6013185381889343},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5897772908210754},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5733126401901245},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.5598322749137878},{"id":"https://openalex.org/C18537770","wikidata":"https://www.wikidata.org/wiki/Q25523","display_name":"Wiener filter","level":2,"score":0.5442020297050476},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.544102668762207},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.540132999420166},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5348429083824158},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.46036967635154724},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.45589426159858704},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24872341752052307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2176688015460968},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.138546884059906},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.12988975644111633},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08897024393081665},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/eusipco.2016.7760590","is_oa":false,"landing_page_url":"https://doi.org/10.1109/eusipco.2016.7760590","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 24th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W160800111","https://openalex.org/W317957491","https://openalex.org/W1025110026","https://openalex.org/W1495679096","https://openalex.org/W1805162375","https://openalex.org/W1891272442","https://openalex.org/W1975301756","https://openalex.org/W2022048673","https://openalex.org/W2113131123","https://openalex.org/W2128653836","https://openalex.org/W2144404214","https://openalex.org/W2169147844","https://openalex.org/W3127686677","https://openalex.org/W4253928870"],"related_works":["https://openalex.org/W3156260480","https://openalex.org/W2057773576","https://openalex.org/W2231820892","https://openalex.org/W629652118","https://openalex.org/W2183597019","https://openalex.org/W1960538562","https://openalex.org/W4361835169","https://openalex.org/W2357967280","https://openalex.org/W2572173963","https://openalex.org/W3033298827"],"abstract_inverted_index":{"This":[0],"paper":[1],"develops":[2],"a":[3],"single-channel":[4],"noise":[5],"reduction":[6],"algorithm":[7],"in":[8],"the":[9,19,28,32,37,47,55],"short-time":[10],"Fourier":[11],"transform":[12],"(STFT)":[13],"domain,":[14],"which":[15],"attempts":[16],"to":[17,53],"optimize":[18],"fullband":[20],"output":[21],"signal-to-noise":[22],"ratio":[23],"(SNR).":[24],"We":[25],"show":[26],"that":[27],"conventional":[29],"Wiener":[30],"filter,":[31,35],"maximum":[33],"SNR":[34],"and":[36],"ideal":[38],"binary":[39],"mask":[40],"based":[41],"method":[42],"are":[43,51],"particular":[44],"cases":[45],"of":[46,57],"developed":[48],"algorithm.":[49,59],"Simulations":[50],"presented":[52],"illustrate":[54],"properties":[56],"this":[58]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
