{"id":"https://openalex.org/W3015920293","doi":"https://doi.org/10.1109/ncc48643.2020.9056024","title":"Block-Sparsity-Induced System Identification Using Efficient Adaptive Filtering","display_name":"Block-Sparsity-Induced System Identification Using Efficient Adaptive Filtering","publication_year":2020,"publication_date":"2020-02-01","ids":{"openalex":"https://openalex.org/W3015920293","doi":"https://doi.org/10.1109/ncc48643.2020.9056024","mag":"3015920293"},"language":"en","primary_location":{"id":"doi:10.1109/ncc48643.2020.9056024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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/A5027836141","display_name":"Bijit Kumar Das","orcid":"https://orcid.org/0000-0002-3144-4312"},"institutions":[{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bijit Kumar Das","raw_affiliation_strings":["Indian Institute of Information Technology,Dept. of Electronics and Communication Engineering,Guwahati,Assam,India","Dept. of Electronics and Communication Engineering, Indian Institute of Information Technology, Guwahati, Assam, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Information Technology,Dept. of Electronics and Communication Engineering,Guwahati,Assam,India","institution_ids":["https://openalex.org/I4210089896"]},{"raw_affiliation_string":"Dept. of Electronics and Communication Engineering, Indian Institute of Information Technology, Guwahati, Assam, India","institution_ids":["https://openalex.org/I4210089896"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028678117","display_name":"Arpan Mukherjee","orcid":"https://orcid.org/0000-0002-5762-3247"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arpan Mukherjee","raw_affiliation_strings":["Indian Institute of Technology,Dept. of Electronics and Electrical Communication Engineering,Kharagpur,India","Dept. of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Dept. of Electronics and Electrical Communication Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Dept. of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072872028","display_name":"Mrityunjoy Chakraborty","orcid":"https://orcid.org/0000-0003-4009-9554"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mrityunjoy Chakraborty","raw_affiliation_strings":["Indian Institute of Technology,Dept. of Electronics and Electrical Communication Engineering,Kharagpur,India","Dept. of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology,Dept. of Electronics and Electrical Communication Engineering,Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"Dept. of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9003,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.68848035,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"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/T10860","display_name":"Speech and Audio Processing","score":0.9998999834060669,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.6425312757492065},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785072445869446},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.554607093334198},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44953635334968567},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.4250483512878418},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.41783949732780457},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.4108719229698181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28670862317085266},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24343669414520264},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.14223641157150269}],"concepts":[{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.6425312757492065},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785072445869446},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.554607093334198},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44953635334968567},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.4250483512878418},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.41783949732780457},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.4108719229698181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28670862317085266},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24343669414520264},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.14223641157150269},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ncc48643.2020.9056024","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ncc48643.2020.9056024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 National Conference on Communications (NCC)","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":13,"referenced_works":["https://openalex.org/W292716351","https://openalex.org/W1492221128","https://openalex.org/W1578320724","https://openalex.org/W1952174976","https://openalex.org/W2030319782","https://openalex.org/W2099464104","https://openalex.org/W2101782279","https://openalex.org/W2117698628","https://openalex.org/W2143643945","https://openalex.org/W2258782427","https://openalex.org/W2328489822","https://openalex.org/W3145321633","https://openalex.org/W6681126137"],"related_works":["https://openalex.org/W2155328232","https://openalex.org/W2001928739","https://openalex.org/W2117097596","https://openalex.org/W2115444402","https://openalex.org/W2168656306","https://openalex.org/W1993602134","https://openalex.org/W2108706436","https://openalex.org/W1869930394","https://openalex.org/W2583374051","https://openalex.org/W2093161512"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4,82],"an":[5,83],"efficient":[6],"proportionate":[7,38,56,85],"type":[8,86],"block":[9,55,87],"sparse":[10,23,88,125],"LMS":[11],"algorithm":[12,28,65,91],"with":[13,92],"a":[14,35,42],"group":[15],"zero-point":[16],"attraction":[17],"(GZA)":[18],"penalty":[19],"term":[20],"for":[21,37],"clustered":[22,124],"system":[24,110],"identification.":[25],"The":[26,59],"proposed":[27,64,138],"is":[29,66,99],"based":[30],"on":[31],"the":[32,51,63,73,77,103,109,115,134,137],"combination":[33],"of":[34,54,62,106,136],"mechanism":[36],"gain":[39,94],"control,":[40],"and":[41,49,122,130],"mixed":[43],"<tex":[44],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[45],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$l_{2},0$</tex>":[46],"norm":[47],"regularization,":[48],"outperforms":[50],"existing":[52],"class":[53],"sparsity-induced":[57],"algorithms.":[58,139],"performance":[60],"analysis":[61],"then":[67],"carried":[68],"out,":[69],"providing":[70],"limits":[71],"to":[72,102,111,119],"mean":[74],"deviation":[75],"from":[76],"original":[78],"system.":[79],"We":[80],"also":[81],"improved":[84],"adaptive":[89],"filtering":[90],"modified":[93],"control":[95],"mechanism.":[96],"This":[97],"one":[98],"more":[100],"robust":[101],"varying":[104],"degrees":[105],"sparsity":[107],"in":[108],"be":[112],"identified":[113],"than":[114],"former.":[116],"Numerical":[117],"simulations":[118],"identify":[120],"single":[121],"two":[123],"systems":[126],"using":[127],"white,":[128],"correlated,":[129],"speech":[131],"signals":[132],"manifest":[133],"superiority":[135]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
