{"id":"https://openalex.org/W2103978175","doi":"https://doi.org/10.1109/ijcnn.2008.4633954","title":"Adaptive filtering for desired error distribution under minimum information divergence criterion","display_name":"Adaptive filtering for desired error distribution under minimum information divergence criterion","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2103978175","doi":"https://doi.org/10.1109/ijcnn.2008.4633954","mag":"2103978175"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2008.4633954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","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/A5056545586","display_name":"Jinchun Hu","orcid":"https://orcid.org/0000-0003-2733-6738"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinchun Hu","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055546056","display_name":"Fuchun Sun","orcid":"https://orcid.org/0000-0003-3546-6305"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuchun Sun","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100516145","display_name":"Zengqi Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqi Sun","raw_affiliation_strings":["State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","Dept-of Computer Science and Technology, Tsinghua University, Beijing,"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Dept-of Computer Science and Technology, Tsinghua University, Beijing,","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5056545586"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.16174087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1215","last_page":"1219"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/divergence","display_name":"Divergence (linguistics)","score":0.7538861036300659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5578107237815857},{"id":"https://openalex.org/keywords/distribution","display_name":"Distribution (mathematics)","score":0.4587457776069641},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37604856491088867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35291188955307007},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.06417280435562134}],"concepts":[{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.7538861036300659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5578107237815857},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.4587457776069641},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37604856491088867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35291188955307007},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.06417280435562134},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2008.4633954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2008.4633954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1667165204","https://openalex.org/W1779707633","https://openalex.org/W1996773351","https://openalex.org/W2010067099","https://openalex.org/W2034529783","https://openalex.org/W2036488048","https://openalex.org/W2097488004","https://openalex.org/W2099111195","https://openalex.org/W2113841685","https://openalex.org/W2113864241","https://openalex.org/W2124572691","https://openalex.org/W2137823363","https://openalex.org/W2148319325","https://openalex.org/W2158966691","https://openalex.org/W2165218755","https://openalex.org/W2489768403","https://openalex.org/W4233014035"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2051487156","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027"],"abstract_inverted_index":{"Conventional":[0],"cost":[1,113],"functions":[2],"of":[3,29,41,138],"adaptive":[4,143],"filtering":[5,42],"are":[6],"usually":[7],"related":[8],"to":[9,72,84],"the":[10,22,30,47,63,66,74,88,98,102,106,112,121,127,136],"error\u2019s":[11,15,18,48],"dispersion,":[12],"such":[13],"as":[14,111],"moments":[16],"or":[17,78],"entropy,":[19,80],"but":[20],"neglect":[21],"shape":[23],"aspects":[24],"(peaks,":[25],"kurtosis,":[26],"tails,":[27],"etc.)":[28],"error":[31,76,79],"distribution.":[32],"In":[33,95],"this":[34,139],"work,":[35],"we":[36,119],"propose":[37],"a":[38,56],"new":[39,140],"notion":[40],"(or":[43],"estimation)":[44],"in":[45,87,142],"which":[46],"probability":[49],"density":[50,117],"function":[51],"(PDF)":[52],"is":[53,82,109],"shaped":[54],"into":[55],"desired":[57,75,107],"one.":[58],"As":[59],"PDFs":[60],"contain":[61],"all":[62],"probabilistic":[64],"information,":[65],"proposed":[67],"method":[68],"can":[69],"be":[70,85],"used":[71,110],"achieve":[73],"variance":[77],"and":[81,92,105],"expected":[83],"useful":[86],"complex":[89],"signal":[90],"processing":[91],"learning":[93],"systems.":[94],"our":[96],"approach,":[97],"information":[99],"divergence":[100],"between":[101],"actual":[103],"errors":[104,108],"function.":[114],"By":[115],"kernel":[116],"estimation,":[118],"derive":[120],"associated":[122],"stochastic":[123],"gradient":[124],"algorithm":[125,141],"for":[126],"finite":[128],"impulse":[129],"response":[130],"(FIR)":[131],"filter.":[132],"Simulation":[133],"results":[134],"emphasize":[135],"effectiveness":[137],"system":[144],"training.":[145]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}