{"id":"https://openalex.org/W4361829725","doi":"https://doi.org/10.1109/ispacs57703.2022.10082818","title":"Statistical Analysis of Multiphase Error Algorithm","display_name":"Statistical Analysis of Multiphase Error Algorithm","publication_year":2022,"publication_date":"2022-11-22","ids":{"openalex":"https://openalex.org/W4361829725","doi":"https://doi.org/10.1109/ispacs57703.2022.10082818"},"language":"en","primary_location":{"id":"doi:10.1109/ispacs57703.2022.10082818","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispacs57703.2022.10082818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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/A5109873712","display_name":"Shin'ichi Koike","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shin'ichi Koike","raw_affiliation_strings":["Consultant, Tokyo, Japan,Tokyo,Japan","Consultant, Tokyo, Japan, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Consultant, Tokyo, Japan,Tokyo,Japan","institution_ids":[]},{"raw_affiliation_string":"Consultant, Tokyo, Japan, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5109873712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17662079,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":1.0,"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":1.0,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9973000288009644,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9969000220298767,"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/convergence","display_name":"Convergence (economics)","score":0.6883769631385803},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.653489351272583},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.641502857208252},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5627700090408325},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5470966696739197},{"id":"https://openalex.org/keywords/transient","display_name":"Transient (computer programming)","score":0.5300818681716919},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.5179609060287476},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.44686195254325867},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44495901465415955},{"id":"https://openalex.org/keywords/error-analysis","display_name":"Error analysis","score":0.4322419762611389},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.41789379715919495},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3345639705657959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31457242369651794},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1629866659641266}],"concepts":[{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6883769631385803},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.653489351272583},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.641502857208252},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5627700090408325},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5470966696739197},{"id":"https://openalex.org/C2780799671","wikidata":"https://www.wikidata.org/wiki/Q17087362","display_name":"Transient (computer programming)","level":2,"score":0.5300818681716919},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.5179609060287476},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.44686195254325867},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44495901465415955},{"id":"https://openalex.org/C3018824978","wikidata":"https://www.wikidata.org/wiki/Q2894891","display_name":"Error analysis","level":2,"score":0.4322419762611389},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.41789379715919495},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3345639705657959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31457242369651794},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1629866659641266},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ispacs57703.2022.10082818","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ispacs57703.2022.10082818","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)","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":14,"referenced_works":["https://openalex.org/W1544576535","https://openalex.org/W1999542175","https://openalex.org/W2096093732","https://openalex.org/W2115815917","https://openalex.org/W2117530862","https://openalex.org/W2129852596","https://openalex.org/W2168314852","https://openalex.org/W2171805467","https://openalex.org/W2547842271","https://openalex.org/W2782968594","https://openalex.org/W2942228371","https://openalex.org/W2992195947","https://openalex.org/W3010812135","https://openalex.org/W4200319517"],"related_works":["https://openalex.org/W2358137648","https://openalex.org/W3128819368","https://openalex.org/W2259231220","https://openalex.org/W3170092502","https://openalex.org/W2130857934","https://openalex.org/W2389992906","https://openalex.org/W2354679221","https://openalex.org/W2204135148","https://openalex.org/W1970319972","https://openalex.org/W2953254336"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"and":[3,20,48,61,69],"analyzes":[4],"Multiphase":[5],"Error":[6],"Algorithm":[7],"(MultiPhEA)":[8],"for":[9,34,45,74],"adaptive":[10],"filters":[11],"in":[12],"the":[13,41,67,72],"complex-number":[14],"domain":[15],"with":[16],"a":[17],"Gaussian":[18,21],"regressor":[19],"observation":[22],"noise,":[23],"where":[24],"multiphase":[25],"function":[26],"taking":[27],"multiple":[28],"discrete":[29],"phase":[30],"points":[31],"is":[32,43],"used":[33],"tap":[35],"weight":[36],"adaptation.":[37],"Statistical":[38],"analysis":[39,73],"of":[40,71],"MultiPhEA":[42],"developed":[44],"calculating":[46],"transient":[47],"steady-state":[49],"convergence":[50,64],"behavior.":[51],"Through":[52],"numerical":[53],"experiments,":[54],"we":[55],"demonstrate":[56],"good":[57],"agreement":[58],"between":[59],"simulated":[60],"theoretically":[62],"calculated":[63],"which":[65],"shows":[66],"validity":[68],"accuracy":[70],"practical":[75],"use.":[76]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}