{"id":"https://openalex.org/W1604205216","doi":"https://doi.org/10.1109/icdsp.2015.7251953","title":"Trimmed diffusion least mean squares for distributed estimation","display_name":"Trimmed diffusion least mean squares for distributed estimation","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1604205216","doi":"https://doi.org/10.1109/icdsp.2015.7251953","mag":"1604205216"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7251953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101812934","display_name":"Hong Guang Ji","orcid":"https://orcid.org/0000-0002-7152-4907"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Ji","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635998","display_name":"Xiaohan Yang","orcid":"https://orcid.org/0000-0003-4425-4531"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohan Yang","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077852542","display_name":"Badong Chen","orcid":"https://orcid.org/0000-0003-1710-3818"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Badong Chen","raw_affiliation_strings":["School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, P.R. China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Electronic and Information Engineering, Xi\u00bfan Jiaotong University, 710049 China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"643","last_page":"646"},"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/T11447","display_name":"Blind Source Separation Techniques","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"}},{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.998199999332428,"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":0.8104904890060425},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7194515466690063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707784533500671},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5030068755149841},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.4864751994609833},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.479484885931015},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.455939918756485},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.44971713423728943},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.43178844451904297},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.42762988805770874},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41479191184043884},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4118090271949768},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3634403645992279},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2519747018814087},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2025260329246521},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20094576478004456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17366790771484375},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.10939028859138489},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.07846543192863464}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8104904890060425},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7194515466690063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707784533500671},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5030068755149841},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.4864751994609833},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.479484885931015},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.455939918756485},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.44971713423728943},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.43178844451904297},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.42762988805770874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41479191184043884},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4118090271949768},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3634403645992279},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2519747018814087},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2025260329246521},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20094576478004456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17366790771484375},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.10939028859138489},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.07846543192863464},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2015.7251953","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251953","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.8500000238418579}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1540920731","https://openalex.org/W1559785498","https://openalex.org/W1986302543","https://openalex.org/W2029909627","https://openalex.org/W2032581473","https://openalex.org/W2050643117","https://openalex.org/W2063450002","https://openalex.org/W2114557042","https://openalex.org/W2117450598","https://openalex.org/W2118776392","https://openalex.org/W2119434824","https://openalex.org/W2121820607","https://openalex.org/W2129249398","https://openalex.org/W2130421734","https://openalex.org/W2134442700","https://openalex.org/W2137840982","https://openalex.org/W2145574455","https://openalex.org/W2151124278","https://openalex.org/W2164089768","https://openalex.org/W2498631646","https://openalex.org/W2784242638","https://openalex.org/W6747981300"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"We":[0,74,94],"consider":[1],"the":[2,64,91],"problem":[3,23],"of":[4,10,31,66,71],"distributed":[5],"estimation,":[6],"where":[7,35],"a":[8,28],"set":[9],"nodes":[11],"is":[12,24],"required":[13],"to":[14,56,89],"collectively":[15],"estimate":[16],"network":[17],"parameters":[18],"from":[19,60],"noisy":[20],"measurements.":[21],"The":[22],"important":[25],"when":[26],"modeling":[27],"wide":[29],"class":[30],"real-time":[32],"sensor":[33],"networks,":[34],"efficiency,":[36],"robustness,":[37],"and":[38,76],"low":[39],"power":[40],"consumption":[41],"are":[42],"desired":[43],"features.":[44],"In":[45],"this":[46],"work,":[47],"we":[48],"focus":[49],"on":[50],"diffusion-based":[51],"adaptive":[52],"solutions":[53],"that":[54,85],"capable":[55],"avoid":[57],"undue":[58],"influence":[59],"outliers,":[61],"especially":[62],"in":[63],"presence":[65],"impulsive":[67],"noise":[68],"or":[69],"dysfunction":[70],"certain":[72],"nodes.":[73],"motivate":[75],"propose":[77],"trimmed":[78],"diffusion":[79],"least":[80],"mean":[81],"square":[82],"(TDLMS)":[83],"algorithm":[84],"selects":[86],"normal":[87],"neighborhood":[88],"update":[90],"system":[92],"estimation.":[93],"provide":[95],"performance":[96],"analysis":[97],"together":[98],"with":[99,103],"simulation":[100],"results":[101],"comparing":[102],"existing":[104],"methods.":[105]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
