{"id":"https://openalex.org/W4372346778","doi":"https://doi.org/10.1109/icassp49357.2023.10095018","title":"Data Driven Joint Sensor Fusion and Regression Based on Geometric Mean Squared Error","display_name":"Data Driven Joint Sensor Fusion and Regression Based on Geometric Mean Squared Error","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372346778","doi":"https://doi.org/10.1109/icassp49357.2023.10095018"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10095018","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://upcommons.upc.edu/bitstreams/9fc33eb1-716e-4896-b450-080dde2f2dd0/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050466977","display_name":"Carlos Alejandro Lopez","orcid":"https://orcid.org/0000-0002-2216-2786"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]},{"id":"https://openalex.org/I190778170","display_name":"Ofcom","ror":"https://ror.org/03pzspq13","country_code":"GB","type":"other","lineage":["https://openalex.org/I190778170"]}],"countries":["ES","GB"],"is_corresponding":true,"raw_author_name":"Carlos Alejandro Lopez","raw_affiliation_strings":["Technical University of Catalonia (SPCOM/UPC),Signal Theory and Communications Department","Signal Theory and Communications Department, Technical University of Catalonia (SPCOM/UPC)"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia (SPCOM/UPC),Signal Theory and Communications Department","institution_ids":["https://openalex.org/I190778170"]},{"raw_affiliation_string":"Signal Theory and Communications Department, Technical University of Catalonia (SPCOM/UPC)","institution_ids":["https://openalex.org/I9617848"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102742723","display_name":"Jaume Riba","orcid":"https://orcid.org/0000-0002-5515-8169"},"institutions":[{"id":"https://openalex.org/I9617848","display_name":"Universitat Polit\u00e8cnica de Catalunya","ror":"https://ror.org/03mb6wj31","country_code":"ES","type":"education","lineage":["https://openalex.org/I9617848"]},{"id":"https://openalex.org/I190778170","display_name":"Ofcom","ror":"https://ror.org/03pzspq13","country_code":"GB","type":"other","lineage":["https://openalex.org/I190778170"]}],"countries":["ES","GB"],"is_corresponding":false,"raw_author_name":"Jaume Riba","raw_affiliation_strings":["Technical University of Catalonia (SPCOM/UPC),Signal Theory and Communications Department","Signal Theory and Communications Department, Technical University of Catalonia (SPCOM/UPC)"],"affiliations":[{"raw_affiliation_string":"Technical University of Catalonia (SPCOM/UPC),Signal Theory and Communications Department","institution_ids":["https://openalex.org/I190778170"]},{"raw_affiliation_string":"Signal Theory and Communications Department, Technical University of Catalonia (SPCOM/UPC)","institution_ids":["https://openalex.org/I9617848"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050466977"],"corresponding_institution_ids":["https://openalex.org/I190778170","https://openalex.org/I9617848"],"apc_list":null,"apc_paid":null,"fwci":0.1728,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53372174,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9890999794006348,"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"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9869999885559082,"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/sensor-fusion","display_name":"Sensor fusion","score":0.7831583023071289},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5892667770385742},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.5726048946380615},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5693249702453613},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5508846044540405},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5343844890594482},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5306196212768555},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5073854327201843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4726366400718689},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.463248610496521},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4338034391403198},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4308122992515564},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.42890650033950806},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.42406630516052246},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3123263716697693},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29309043288230896}],"concepts":[{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.7831583023071289},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5892667770385742},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.5726048946380615},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5693249702453613},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5508846044540405},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5343844890594482},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5306196212768555},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5073854327201843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4726366400718689},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.463248610496521},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4338034391403198},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4308122992515564},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.42890650033950806},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.42406630516052246},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3123263716697693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29309043288230896},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp49357.2023.10095018","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp49357.2023.10095018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:upcommons.upc.edu:2117/391854","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/391854","pdf_url":"https://upcommons.upc.edu/bitstreams/9fc33eb1-716e-4896-b450-080dde2f2dd0/download","source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"}],"best_oa_location":{"id":"pmh:oai:upcommons.upc.edu:2117/391854","is_oa":true,"landing_page_url":"https://hdl.handle.net/2117/391854","pdf_url":"https://upcommons.upc.edu/bitstreams/9fc33eb1-716e-4896-b450-080dde2f2dd0/download","source":{"id":"https://openalex.org/S4210207057","display_name":"QRU Quaderns de Recerca en Urbanisme","issn_l":"2014-9689","issn":["2014-9689","2385-6777"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310322448","host_organization_name":"Q71272178","host_organization_lineage":["https://openalex.org/P4310322448"],"host_organization_lineage_names":["Q71272178"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference lecture"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1509531748","display_name":null,"funder_award_id":"AEI / 10.13039/501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G1855006561","display_name":null,"funder_award_id":"PID2019-105717RB-C22 / AEI / 10.13039/501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G2262748287","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G2309174360","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G288263039","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320334830","funder_display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca"},{"id":"https://openalex.org/G300979063","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3085798016","display_name":null,"funder_award_id":"PID2019-105717RB-C22","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G3480869486","display_name":null,"funder_award_id":"13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G3690828678","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G3760900746","display_name":null,"funder_award_id":"2017 SGR 578","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4126322094","display_name":null,"funder_award_id":"01100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4429097262","display_name":null,"funder_award_id":"AEI / 10.13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G4554128012","display_name":null,"funder_award_id":"2017 SGR 578","funder_id":"https://openalex.org/F4320334830","funder_display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca"},{"id":"https://openalex.org/G5080475149","display_name":null,"funder_award_id":"10.13039","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G5421974903","display_name":null,"funder_award_id":"501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G5852091828","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320334830","funder_display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca"},{"id":"https://openalex.org/G661330594","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G6685425346","display_name":null,"funder_award_id":"0011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7266728691","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G7607407265","display_name":null,"funder_award_id":"2017 SGR","funder_id":"https://openalex.org/F4320334830","funder_display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca"},{"id":"https://openalex.org/G7643708868","display_name":null,"funder_award_id":"10.13039/501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G8055432103","display_name":null,"funder_award_id":"13039/501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G8260616629","display_name":null,"funder_award_id":"011033","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8352492595","display_name":null,"funder_award_id":"0.13039/501100011033","funder_id":"https://openalex.org/F4320322930","funder_display_name":"Ministerio de Ciencia e Innovaci\u00f3n"},{"id":"https://openalex.org/G8638682022","display_name":null,"funder_award_id":"10.13039/50110001103","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G8684520763","display_name":null,"funder_award_id":"PID2019","funder_id":"https://openalex.org/F4320335598","funder_display_name":"Agencia Estatal de Investigaci\u00f3n"},{"id":"https://openalex.org/G891081937","display_name":null,"funder_award_id":"00110","funder_id":"https://openalex.org/F4320334830","funder_display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca"}],"funders":[{"id":"https://openalex.org/F4320322930","display_name":"Ministerio de Ciencia e Innovaci\u00f3n","ror":"https://ror.org/034900433"},{"id":"https://openalex.org/F4320334830","display_name":"Ag\u00e8ncia de Gesti\u00f3 d'Ajuts Universitaris i de Recerca","ror":"https://ror.org/01n4pqe45"},{"id":"https://openalex.org/F4320335598","display_name":"Agencia Estatal de Investigaci\u00f3n","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4372346778.pdf","grobid_xml":"https://content.openalex.org/works/W4372346778.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W180275413","https://openalex.org/W1530239534","https://openalex.org/W1531936217","https://openalex.org/W1539811621","https://openalex.org/W1597640123","https://openalex.org/W1916337001","https://openalex.org/W2015856032","https://openalex.org/W2038420319","https://openalex.org/W2051370783","https://openalex.org/W2055098062","https://openalex.org/W2125828051","https://openalex.org/W2407182032","https://openalex.org/W2560503982","https://openalex.org/W2766193290","https://openalex.org/W2912227317","https://openalex.org/W2964006653","https://openalex.org/W2998741637","https://openalex.org/W4240480786","https://openalex.org/W4250589301","https://openalex.org/W6631680487","https://openalex.org/W6631683895","https://openalex.org/W6636133855"],"related_works":["https://openalex.org/W2135584473","https://openalex.org/W2964223869","https://openalex.org/W2792539140","https://openalex.org/W2005808740","https://openalex.org/W2295130398","https://openalex.org/W2064951085","https://openalex.org/W2626141450","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332"],"abstract_inverted_index":{"This":[0],"paper":[1],"explores":[2],"the":[3,26,74,81,87,92,107,120,125],"problem":[4,29],"of":[5,36,56,83,124],"estimating":[6],"a":[7,31,40,43,51,57],"temporal":[8,93],"series":[9,94],"measured":[10],"from":[11,67],"multiple":[12],"independent":[13],"sensors":[14],"with":[15,21,69,119],"unequal":[16],"and":[17,39,77,117],"stationary":[18],"measurement":[19],"errors":[20],"unknown":[22],"variances.":[23],"By":[24],"formulating":[25],"data":[27,45,68,100],"fusion":[28,41,78],"as":[30],"joint":[32,75],"Maximum":[33],"Likelihood":[34],"estimation":[35],"sensor":[37,88,110],"covariances":[38],"rule,":[42],"batch":[44],"driven":[46,101],"method":[47],"is":[48,61,103,114],"derived":[49],"involving":[50],"residual":[52],"covariance":[53],"determinant":[54],"minimization":[55],"diagonal":[58],"matrix.":[59],"It":[60],"shown":[62],"that":[63],"yielding":[64],"useful":[65],"learning":[66],"good":[70],"generalization":[71],"properties":[72],"in":[73],"regression":[76],"approach":[79],"requires":[80],"assumption":[82],"some":[84],"structure":[85],"on":[86,91],"noises":[89],"and/or":[90],"to":[95,105],"be":[96],"estimated.":[97],"An":[98],"efficient":[99],"algorithm":[102],"proposed":[104],"obtain":[106],"best":[108],"linear":[109],"combiner,":[111],"whose":[112],"performance":[113],"numerically":[115],"analyzed":[116],"compared":[118],"Cramer-Rao":[121],"Lower":[122],"Bound":[123],"estimated":[126],"parameters.":[127]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
