{"id":"https://openalex.org/W4380628790","doi":"https://doi.org/10.1145/3585542.3585562","title":"An L0 Constrained Normalized SAF Algorithm Applied to Adaptive Wideband Beamforming","display_name":"An L0 Constrained Normalized SAF Algorithm Applied to Adaptive Wideband Beamforming","publication_year":2023,"publication_date":"2023-02-17","ids":{"openalex":"https://openalex.org/W4380628790","doi":"https://doi.org/10.1145/3585542.3585562"},"language":"en","primary_location":{"id":"doi:10.1145/3585542.3585562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585542.3585562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Digital Signal Processing","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/A5070965101","display_name":"S. L. Dong","orcid":"https://orcid.org/0009-0003-3544-5325"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaowei Dong","raw_affiliation_strings":["Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0003-3544-5325","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092166437","display_name":"Weikun Sun","orcid":"https://orcid.org/0009-0007-6527-0158"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weikun Sun","raw_affiliation_strings":["Southwest Jiaotong University, China"],"raw_orcid":"https://orcid.org/0009-0007-6527-0158","affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070965101"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07931054,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"130","last_page":"134"},"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/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9994000196456909,"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/T10860","display_name":"Speech and Audio Processing","score":0.9993000030517578,"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/wideband","display_name":"Wideband","score":0.8551114797592163},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.6519174575805664},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079114079475403},{"id":"https://openalex.org/keywords/adaptive-beamformer","display_name":"Adaptive beamformer","score":0.5865644812583923},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5645756125450134},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5479906797409058},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5079765915870667},{"id":"https://openalex.org/keywords/beamforming","display_name":"Beamforming","score":0.4606589674949646},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.22403323650360107},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13030153512954712},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11708968877792358}],"concepts":[{"id":"https://openalex.org/C2780202535","wikidata":"https://www.wikidata.org/wiki/Q4524457","display_name":"Wideband","level":2,"score":0.8551114797592163},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.6519174575805664},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079114079475403},{"id":"https://openalex.org/C33378366","wikidata":"https://www.wikidata.org/wiki/Q4680719","display_name":"Adaptive beamformer","level":3,"score":0.5865644812583923},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5645756125450134},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5479906797409058},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5079765915870667},{"id":"https://openalex.org/C54197355","wikidata":"https://www.wikidata.org/wiki/Q5782992","display_name":"Beamforming","level":2,"score":0.4606589674949646},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.22403323650360107},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13030153512954712},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11708968877792358},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3585542.3585562","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3585542.3585562","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Digital Signal Processing","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":20,"referenced_works":["https://openalex.org/W653761051","https://openalex.org/W1729371106","https://openalex.org/W1985298287","https://openalex.org/W1988750881","https://openalex.org/W2001739809","https://openalex.org/W2002043931","https://openalex.org/W2005421992","https://openalex.org/W2043105838","https://openalex.org/W2051487492","https://openalex.org/W2060108923","https://openalex.org/W2088463749","https://openalex.org/W2099464104","https://openalex.org/W2129547823","https://openalex.org/W2135046866","https://openalex.org/W2157929473","https://openalex.org/W2160934026","https://openalex.org/W2293909378","https://openalex.org/W3211225349","https://openalex.org/W4312458150","https://openalex.org/W6674616871"],"related_works":["https://openalex.org/W818226659","https://openalex.org/W2009075871","https://openalex.org/W2132841313","https://openalex.org/W2518591292","https://openalex.org/W2105408150","https://openalex.org/W1976800395","https://openalex.org/W2606661315","https://openalex.org/W2548445082","https://openalex.org/W636053046","https://openalex.org/W2072054645"],"abstract_inverted_index":{"We":[0],"detail":[1],"in":[2,33,49,115],"this":[3],"paper":[4],"an":[5,139],"-norm":[6],"normalized":[7],"subband":[8],"adaptive":[9,147],"filter(-NSAF)":[10],"algorithm":[11,82,137],"applied":[12],"to":[13,51,71,112,120],"improve":[14,121],"the":[15,30,53,59,86,93,108,116,122,135],"convergence":[16,94,123],"speed":[17,95,124],"and":[18,43,80,125],"steady-state":[19,127],"error":[20],"whose":[21],"solutions":[22],"have":[23],"some":[24],"degree":[25],"of":[26,41,46,61,68,89,96,107],"sparsity,":[27],"for":[28],"example,":[29],"wideband":[31,90,117,141],"beamforming":[32,142],"uniform":[34],"linear":[35],"arrays":[36],"(ULA).":[37],"Wideband":[38],"beamformer":[39],"consists":[40],"sensors":[42,62],"a":[44],"series":[45],"tapped":[47],"delay-lines,":[48],"order":[50],"update":[52],"frequency":[54],"dependent":[55],"weights.":[56],"However,":[57],"as":[58,78],"number":[60,67],"increases,":[63],"there":[64],"are":[65],"large":[66],"weights":[69],"need":[70],"be":[72,113],"updated.":[73],"Some":[74],"conventional":[75],"algorithms":[76,98],"such":[77],"NLMS":[79],"NSAF":[81],"can":[83],"not":[84],"exploit":[85],"latent":[87],"sparsity":[88,109],"beamformer,":[91,118],"so":[92],"these":[97],"is":[99,110],"relative":[100],"slow.":[101],"Therefore,":[102],"-NSAF":[103],"which":[104],"takes":[105],"advantage":[106],"proposed":[111,136],"used":[114],"aiming":[119],"low":[126],"error.":[128],"Finally,":[129],"computer":[130],"simulation":[131],"results":[132],"indicate":[133],"that":[134],"achieves":[138],"improved":[140],"performance":[143],"compared":[144],"with":[145],"other":[146],"methods.":[148]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}