{"id":"https://openalex.org/W2292046267","doi":"https://doi.org/10.1109/iscc.2015.7405559","title":"Acoustic model parameter estimation using distributed incremental adaptive networks","display_name":"Acoustic model parameter estimation using distributed incremental adaptive networks","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2292046267","doi":"https://doi.org/10.1109/iscc.2015.7405559","mag":"2292046267"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2015.7405559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2015.7405559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Symposium on Computers and Communication (ISCC)","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/A5017440649","display_name":"Sayed Mostafa Taheri","orcid":"https://orcid.org/0000-0003-3717-8796"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Sayed Mostafa Taheri","raw_affiliation_strings":["Signal Processing and Communications Group, The University of Edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Signal Processing and Communications Group, The University of Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032258000","display_name":"Hamed Nosrati","orcid":"https://orcid.org/0000-0003-1666-0137"},"institutions":[{"id":"https://openalex.org/I107853901","display_name":"Sahand University of Technology","ror":"https://ror.org/03wdrmh81","country_code":"IR","type":"education","lineage":["https://openalex.org/I107853901"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Hamed Nosrati","raw_affiliation_strings":["Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sahand University of Technology, Tabriz, Iran","institution_ids":["https://openalex.org/I107853901"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5017440649"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":0.2872,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59100979,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"60","issue":null,"first_page":"471","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9998000264167786,"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":0.9998000264167786,"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/T11309","display_name":"Music and Audio Processing","score":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.7336801290512085},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6138920783996582},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4727160334587097},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4142584204673767},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.412195086479187},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3488277196884155},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33647605776786804},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32216164469718933},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15375617146492004},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.08916854858398438}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336801290512085},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6138920783996582},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4727160334587097},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4142584204673767},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.412195086479187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3488277196884155},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33647605776786804},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32216164469718933},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15375617146492004},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.08916854858398438},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscc.2015.7405559","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2015.7405559","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Symposium on Computers and Communication (ISCC)","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":27,"referenced_works":["https://openalex.org/W1606627838","https://openalex.org/W1983496787","https://openalex.org/W1988827501","https://openalex.org/W2040984620","https://openalex.org/W2042156335","https://openalex.org/W2051487990","https://openalex.org/W2080522017","https://openalex.org/W2086650962","https://openalex.org/W2098843089","https://openalex.org/W2106596127","https://openalex.org/W2119133138","https://openalex.org/W2120325270","https://openalex.org/W2130442323","https://openalex.org/W2130640900","https://openalex.org/W2140035903","https://openalex.org/W2141730627","https://openalex.org/W2143307907","https://openalex.org/W2146941529","https://openalex.org/W2150676442","https://openalex.org/W2157565797","https://openalex.org/W2395429589","https://openalex.org/W2538861202","https://openalex.org/W2540277355","https://openalex.org/W2963157432","https://openalex.org/W6670723367","https://openalex.org/W6684139056","https://openalex.org/W6728941791"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W1520183331","https://openalex.org/W2734842993","https://openalex.org/W2168175994","https://openalex.org/W2049473509"],"abstract_inverted_index":{"In":[0],"this":[1,62,105],"paper,":[2],"we":[3,40],"propose":[4],"employing":[5],"distributed":[6,25,100],"incremental":[7,48,101],"adaptive":[8,26,49,102],"networks":[9,103],"for":[10,104],"the":[11,35,43,46,53,64,91,95],"aim":[12],"of":[13,45,99],"acoustic":[14],"signature":[15],"identification,":[16],"as":[17],"a":[18,70,81],"time-varying":[19],"autoregressive":[20],"(TVAR)":[21],"stochastic":[22],"model.":[23],"A":[24],"sensor":[27,72],"network":[28,73],"considers":[29],"spatio-temporal":[30],"challenges":[31],"simultaneously.":[32],"By":[33],"formulating":[34],"problem":[36],"under":[37],"non-stationary":[38],"conditions,":[39],"proceed":[41],"showing":[42],"superiority":[44],"proposed":[47,65],"algorithm":[50],"comparing":[51],"to":[52,79],"classical":[54],"single":[55],"point":[56],"observations":[57],"methods.":[58],"To":[59],"practically":[60],"prove":[61],"efficiency,":[63],"algorithms":[66],"are":[67],"implemented":[68],"on":[69],"real":[71],"dataset":[74],"recorded":[75],"from":[76],"moving":[77],"vehicles,":[78],"be":[80],"substantial":[82],"real-world":[83],"validation":[84],"test.":[85],"The":[86],"experimental":[87],"results":[88],"well":[89],"support":[90],"claim":[92],"and":[93,97],"demonstrate":[94],"excellence":[96],"competence":[98],"case.":[106]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}