{"id":"https://openalex.org/W2889406817","doi":"https://doi.org/10.1109/ssp.2018.8450690","title":"Recursive Least Complex Signa Signum Algorithm","display_name":"Recursive Least Complex Signa Signum Algorithm","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889406817","doi":"https://doi.org/10.1109/ssp.2018.8450690","mag":"2889406817"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2018.8450690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","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/A5087980117","display_name":"Shinrichi Koike","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Shinrichi Koike","raw_affiliation_strings":["Consultant, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Consultant, Tokyo, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087980117"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09651518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"e85 a","issue":null,"first_page":"518","last_page":"522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"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"}},"topics":[{"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/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/T11236","display_name":"Control Systems and Identification","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/robustness","display_name":"Robustness (evolution)","score":0.7446026802062988},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.7049851417541504},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.6917271614074707},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6656882166862488},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6346335411071777},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6025376319885254},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5132920145988464},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5061618685722351},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.45424968004226685},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4516125023365021},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.4429616928100586},{"id":"https://openalex.org/keywords/finite-impulse-response","display_name":"Finite impulse response","score":0.4157814383506775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.309013307094574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20557984709739685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07864531874656677}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7446026802062988},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.7049851417541504},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.6917271614074707},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6656882166862488},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6346335411071777},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6025376319885254},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5132920145988464},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5061618685722351},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.45424968004226685},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4516125023365021},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.4429616928100586},{"id":"https://openalex.org/C198386975","wikidata":"https://www.wikidata.org/wiki/Q117785","display_name":"Finite impulse response","level":2,"score":0.4157814383506775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.309013307094574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20557984709739685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07864531874656677},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/ssp.2018.8450690","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450690","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","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":14,"referenced_works":["https://openalex.org/W1492221128","https://openalex.org/W1577785249","https://openalex.org/W1667165204","https://openalex.org/W1999542175","https://openalex.org/W2025742588","https://openalex.org/W2070546538","https://openalex.org/W2096093732","https://openalex.org/W2115815917","https://openalex.org/W2129852596","https://openalex.org/W2168314852","https://openalex.org/W2482792214","https://openalex.org/W2548815085","https://openalex.org/W6634554038","https://openalex.org/W6668339981"],"related_works":["https://openalex.org/W2354855219","https://openalex.org/W2902195311","https://openalex.org/W4234799465","https://openalex.org/W2038737370","https://openalex.org/W2044386356","https://openalex.org/W2767038330","https://openalex.org/W1582240042","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,77],"first":[4],"review":[5],"Complex":[6,32],"Signo":[7],"Signum":[8,34],"Algorithm":[9,35],"(CSSA,":[10],"and":[11,54,120],"then":[12],"combine":[13],"the":[14,22,27,51,57,63,81,86,91,94,113,118,123],"CSSA":[15,95],"with":[16,74,112],"a":[17],"recursive":[18],"least":[19],"estimate":[20],"of":[21,26,39,62,80,93,99,122],"inverse":[23],"covariance":[24],"matrix":[25],"regressor,":[28],"proposing":[29],"Recursive":[30],"Least":[31],"Signa":[33],"(RLCSSA.":[36],"Two":[37],"types":[38,98],"impulse":[40,100],"noise":[41,49],"are":[42,107],"considered:":[43],"one":[44],"is":[45,65],"found":[46],"in":[47,84,109],"observation":[48],"at":[50,56],"filter":[52,58],"output":[53],"another":[55],"input.":[59],"Statistical":[60],"analysis":[61],"RLCSSA":[64],"developed":[66],"for":[67],"calculating":[68],"theoretical":[69,104],"convergence":[70,87,105],"behavior.":[71],"Through":[72],"experiments":[73],"typical":[75],"examples,":[76],"demonstrate":[78],"effectiveness":[79],"proposed":[82],"algorithm":[83],"accelerating":[85],"speed,":[88],"while":[89],"preserving":[90],"robustness":[92],"against":[96],"both":[97],"noise.":[101],"The":[102],"calculated":[103],"curves":[106],"generally":[108],"good":[110],"agreement":[111],"simulated":[114],"ones":[115],"that":[116],"shows":[117],"validity":[119],"accuracy":[121],"analysis.":[124]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
