{"id":"https://openalex.org/W4385688620","doi":"https://doi.org/10.1109/ssp53291.2023.10207966","title":"Weight sharing for single-channel LMS","display_name":"Weight sharing for single-channel LMS","publication_year":2023,"publication_date":"2023-07-02","ids":{"openalex":"https://openalex.org/W4385688620","doi":"https://doi.org/10.1109/ssp53291.2023.10207966"},"language":"en","primary_location":{"id":"doi:10.1109/ssp53291.2023.10207966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10207966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 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/A5020117357","display_name":"Shamahil Ibunu","orcid":null},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Shamahil Ibunu","raw_affiliation_strings":["University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX"],"affiliations":[{"raw_affiliation_string":"University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX","institution_ids":["https://openalex.org/I184558857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113589511","display_name":"Karl D. Moore","orcid":null},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Karl Moore","raw_affiliation_strings":["University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX"],"affiliations":[{"raw_affiliation_string":"University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX","institution_ids":["https://openalex.org/I184558857"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103038097","display_name":"Clive Cheong Took","orcid":"https://orcid.org/0000-0002-1640-1381"},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Clive Cheong Took","raw_affiliation_strings":["University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX"],"affiliations":[{"raw_affiliation_string":"University of London,Department of Electronic Engineering Royal Holloway,United Kingdom,TW20 0EX","institution_ids":["https://openalex.org/I184558857"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo Mandic","raw_affiliation_strings":["Imperial College London,Department of Electrical and Electronic Engineering,United Kingdom,SW7 2BX"],"affiliations":[{"raw_affiliation_string":"Imperial College London,Department of Electrical and Electronic Engineering,United Kingdom,SW7 2BX","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020117357"],"corresponding_institution_ids":["https://openalex.org/I184558857"],"apc_list":null,"apc_paid":null,"fwci":0.2234,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.46892867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"189"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"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":0.9993000030517578,"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/computer-science","display_name":"Computer science","score":0.7559351921081543},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7339791059494019},{"id":"https://openalex.org/keywords/least-mean-squares-filter","display_name":"Least mean squares filter","score":0.6618530750274658},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.42690199613571167},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.3693368434906006},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34623923897743225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33254069089889526},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23256522417068481}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7559351921081543},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7339791059494019},{"id":"https://openalex.org/C32617633","wikidata":"https://www.wikidata.org/wiki/Q1426666","display_name":"Least mean squares filter","level":3,"score":0.6618530750274658},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.42690199613571167},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.3693368434906006},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34623923897743225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33254069089889526},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23256522417068481},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssp53291.2023.10207966","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp53291.2023.10207966","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W963427357","https://openalex.org/W1583148331","https://openalex.org/W2094631910","https://openalex.org/W2112796928","https://openalex.org/W2126537583","https://openalex.org/W2141394518","https://openalex.org/W2147108768","https://openalex.org/W4229056900","https://openalex.org/W4281640233","https://openalex.org/W6625300833"],"related_works":["https://openalex.org/W2287235845","https://openalex.org/W2586228848","https://openalex.org/W2081837274","https://openalex.org/W2253481662","https://openalex.org/W1998353256","https://openalex.org/W2357454918","https://openalex.org/W2189195857","https://openalex.org/W3040496336","https://openalex.org/W2370278301","https://openalex.org/W2146261928"],"abstract_inverted_index":{"Constraining":[0],"a":[1,10,16,113],"group":[2],"of":[3,5,25,27,57,72,119],"taps":[4],"an":[6,39,107],"adaptive":[7],"filter":[8,121],"to":[9,102,110],"single":[11],"value":[12],"may":[13],"seem":[14],"like":[15],"futile":[17],"task,":[18],"as":[19,106],"weight":[20,46,73,83,89,98],"sharing":[21,47,74,84,90,99],"reduces":[22],"the":[23,28,43,55,70,120,125],"degree":[24],"freedom":[26],"algorithm,":[29],"and":[30,53,81,87,112],"there":[31],"are":[32],"no":[33],"obvious":[34],"advantages":[35,71],"for":[36],"implementing":[37],"such":[38,105],"update":[40],"scheme.":[41],"On":[42],"other":[44],"hand,":[45],"is":[48,117],"popular":[49],"in":[50,62,75],"deep":[51],"learning":[52],"underpins":[54],"success":[56],"convolutional":[58],"neural":[59],"networks":[60],"(CNNs)":[61],"numerous":[63,103],"applications.":[64],"To":[65],"this":[66],"end,":[67],"we":[68,95],"investigate":[69],"single-channel":[76],"least":[77],"mean":[78],"square":[79],"(LMS),":[80],"propose":[82],"LMS":[85,91],"(WSLMS)":[86],"partial":[88],"(PWS).":[92],"In":[93],"particular,":[94],"illustrate":[96],"how":[97],"can":[100],"lead":[101],"benefits":[104],"enhanced":[108],"robustness":[109],"noise":[111],"computational":[114],"cost":[115],"that":[116],"independent":[118],"length.":[122],"Simulations":[123],"support":[124],"analysis.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
