{"id":"https://openalex.org/W1968861729","doi":"https://doi.org/10.1109/icassp.2014.6853809","title":"Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation","display_name":"Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W1968861729","doi":"https://doi.org/10.1109/icassp.2014.6853809","mag":"1968861729"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2014.6853809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5022358441","display_name":"Hiroki Kuroda","orcid":"https://orcid.org/0000-0002-8093-3219"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hiroki Kuroda","raw_affiliation_strings":["Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102929443","display_name":"Masao Yamagishi","orcid":"https://orcid.org/0000-0002-5371-3536"},"institutions":[{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]},{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masao Yamagishi","raw_affiliation_strings":["Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103022814","display_name":"Isao Yamada","orcid":"https://orcid.org/0000-0002-6563-7526"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]},{"id":"https://openalex.org/I90023481","display_name":"National Institute of Information and Communications Technology","ror":"https://ror.org/016bgq349","country_code":"JP","type":"facility","lineage":["https://openalex.org/I90023481"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Isao Yamada","raw_affiliation_strings":["Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Communications and Computer Engineering, Tokyo Institute of Technology","institution_ids":["https://openalex.org/I90023481","https://openalex.org/I114531698"]},{"raw_affiliation_string":"Dept. of Commun. & Comput. Eng., Tokyo Inst. of Technol., Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5022358441"],"corresponding_institution_ids":["https://openalex.org/I114531698","https://openalex.org/I90023481"],"apc_list":null,"apc_paid":null,"fwci":0.3154,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57470354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"86","issue":null,"first_page":"1310","last_page":"1314"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9977999925613403,"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/clipping","display_name":"Clipping (morphology)","score":0.8071095943450928},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.763948917388916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6319894194602966},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5668319463729858},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5302595496177673},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4922870695590973},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4764012396335602},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3651648163795471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24561738967895508},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24479064345359802},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20879361033439636},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12128067016601562}],"concepts":[{"id":"https://openalex.org/C2776848632","wikidata":"https://www.wikidata.org/wiki/Q853463","display_name":"Clipping (morphology)","level":2,"score":0.8071095943450928},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.763948917388916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6319894194602966},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5668319463729858},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5302595496177673},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4922870695590973},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4764012396335602},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3651648163795471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24561738967895508},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24479064345359802},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20879361033439636},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12128067016601562},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2014.6853809","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2014.6853809","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W63384232","https://openalex.org/W164986376","https://openalex.org/W1550107969","https://openalex.org/W1571948352","https://openalex.org/W1832395204","https://openalex.org/W1964129192","https://openalex.org/W1993212240","https://openalex.org/W1998520805","https://openalex.org/W2005778669","https://openalex.org/W2018980815","https://openalex.org/W2024832282","https://openalex.org/W2031863147","https://openalex.org/W2033511209","https://openalex.org/W2046033161","https://openalex.org/W2047154118","https://openalex.org/W2068400585","https://openalex.org/W2085440994","https://openalex.org/W2094903560","https://openalex.org/W2101248405","https://openalex.org/W2102872670","https://openalex.org/W2111754609","https://openalex.org/W2118867423","https://openalex.org/W2125261248","https://openalex.org/W2128205542","https://openalex.org/W2136682440","https://openalex.org/W2144174236","https://openalex.org/W2158739303","https://openalex.org/W2166713810","https://openalex.org/W2606637073","https://openalex.org/W3213545458","https://openalex.org/W6634156880","https://openalex.org/W6638625981","https://openalex.org/W6675147119","https://openalex.org/W6683310007","https://openalex.org/W6736441058","https://openalex.org/W7015297406"],"related_works":["https://openalex.org/W2150830839","https://openalex.org/W2123102751","https://openalex.org/W2376419853","https://openalex.org/W2100428849","https://openalex.org/W2068149770","https://openalex.org/W2579663521","https://openalex.org/W2374020500","https://openalex.org/W2373152179","https://openalex.org/W2380451229","https://openalex.org/W2156376770"],"abstract_inverted_index":{"For":[0],"the":[1,12,16,19,25,28,54,57,80,90,96,103,107,112,115,120,123,126,129,135,142],"nonlinear":[2],"acoustic":[3],"echo":[4],"cancellation,":[5],"we":[6,67,110],"present":[7],"an":[8,147],"adaptive":[9,87,104],"learning":[10,33,88,105],"of":[11,15,24,56,89,106,114,128],"saturation":[13],"effect":[14],"amplifier":[17],"and":[18,27,145],"room":[20],"propagation":[21],"in":[22,49,61,125,141],"terms":[23],"hard-clipping":[26,58,82,91],"FIR":[29,108],"system.":[30],"The":[31,85],"conventional":[32],"algorithms":[34],"are":[35],"based":[36],"on":[37,44],"a":[38,50,77,99],"gradient":[39],"descent":[40],"method,":[41],"i.e.,":[42],"rely":[43],"local":[45,62,143],"information,":[46],"which":[47],"results":[48],"major":[51],"drawback":[52,70],"that":[53,134],"estimation":[55,127],"is":[59,92,138],"trapped":[60,140],"minima.":[63],"In":[64,102],"this":[65,69],"paper,":[66],"solve":[68],"by":[71],"exploiting":[72],"global":[73],"information":[74],"embodied":[75],"as":[76],"set":[78],"including":[79],"desired":[81],"with":[83,98],"high-probability.":[84],"proposed":[86,136],"designed":[93],"to":[94],"track":[95],"sets":[97],"projection-based":[100],"algorithm.":[101],"system,":[109],"propose":[111],"use":[113],"Huber":[116],"loss":[117],"function":[118],"for":[119],"robustness":[121],"against":[122],"error":[124],"hard-clipping.":[130],"Numerical":[131],"examples":[132],"show":[133],"algorithm":[137],"never":[139],"minima":[144],"has":[146],"excellent":[148],"steady-state":[149],"behavior.":[150]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}