{"id":"https://openalex.org/W4412964967","doi":"https://doi.org/10.1109/i2mtc62753.2025.11079214","title":"Compressive Sensing-based Pruning of Frequency-Domain Volterra Models","display_name":"Compressive Sensing-based Pruning of Frequency-Domain Volterra Models","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4412964967","doi":"https://doi.org/10.1109/i2mtc62753.2025.11079214"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc62753.2025.11079214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11079214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","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/A5059759550","display_name":"Christian Laurano","orcid":"https://orcid.org/0000-0002-6011-6246"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Christian Laurano","raw_affiliation_strings":["Informazione e Bioingegneria Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy"],"affiliations":[{"raw_affiliation_string":"Informazione e Bioingegneria Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003675815","display_name":"Sergio Toscani","orcid":"https://orcid.org/0000-0003-2317-5818"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Sergio Toscani","raw_affiliation_strings":["Informazione e Bioingegneria Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy"],"affiliations":[{"raw_affiliation_string":"Informazione e Bioingegneria Politecnico di Milano,Dipartimento di Elettronica,Milano,Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030510243","display_name":"Paolo Attilio Pegoraro","orcid":"https://orcid.org/0000-0003-4501-1195"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paolo Attilio Pegoraro","raw_affiliation_strings":["University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy"],"affiliations":[{"raw_affiliation_string":"University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy","institution_ids":["https://openalex.org/I172446870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045898592","display_name":"Antonio Vincenzo Solinas","orcid":"https://orcid.org/0000-0001-8531-8541"},"institutions":[{"id":"https://openalex.org/I172446870","display_name":"University of Cagliari","ror":"https://ror.org/003109y17","country_code":"IT","type":"education","lineage":["https://openalex.org/I172446870"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Vincenzo Solinas","raw_affiliation_strings":["University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy"],"affiliations":[{"raw_affiliation_string":"University of Cagliari,Department of Electrical and Electronic Engineering,Cagliari,Italy","institution_ids":["https://openalex.org/I172446870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059759550"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2412494,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10727","display_name":"Ultrasound Imaging and Elastography","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.7339981198310852},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.6626858115196228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6138518452644348},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4996621608734131},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4648989737033844},{"id":"https://openalex.org/keywords/volterra-series","display_name":"Volterra series","score":0.43606850504875183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30461829900741577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20520582795143127},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.17980745434761047},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10914167761802673},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10086536407470703},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.08880919218063354}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7339981198310852},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.6626858115196228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6138518452644348},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4996621608734131},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4648989737033844},{"id":"https://openalex.org/C2778532037","wikidata":"https://www.wikidata.org/wiki/Q3957891","display_name":"Volterra series","level":3,"score":0.43606850504875183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30461829900741577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20520582795143127},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.17980745434761047},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10914167761802673},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10086536407470703},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.08880919218063354},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/i2mtc62753.2025.11079214","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11079214","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1295989","is_oa":false,"landing_page_url":"https://hdl.handle.net/11311/1295989","pdf_url":null,"source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W583903863","https://openalex.org/W1597839575","https://openalex.org/W2104100206","https://openalex.org/W2119667497","https://openalex.org/W2123325868","https://openalex.org/W2125351848","https://openalex.org/W2150648248","https://openalex.org/W2152623177","https://openalex.org/W2159225472","https://openalex.org/W2161597212","https://openalex.org/W2276148025","https://openalex.org/W2344463366","https://openalex.org/W2589497413","https://openalex.org/W2766359152","https://openalex.org/W3109190966","https://openalex.org/W4229944485","https://openalex.org/W4234452799","https://openalex.org/W4238095827","https://openalex.org/W4240937748","https://openalex.org/W4252099851","https://openalex.org/W4319865706","https://openalex.org/W4408181906"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W4300044672","https://openalex.org/W2118357598","https://openalex.org/W2736114799","https://openalex.org/W3216079874","https://openalex.org/W2568707821","https://openalex.org/W2093915757","https://openalex.org/W1987983099","https://openalex.org/W2006936312"],"abstract_inverted_index":{"The":[0,147],"Volterra":[1,30,113,156],"approach":[2],"is":[3,32,37,90,134,150,180],"a":[4,59,74,107,162,189],"powerful":[5],"tool":[6],"for":[7,97,111],"the":[8,15,23,35,39,50,63,68,84,87,93,98,103,131,140,154,174,177,185],"behavioral":[9],"modeling":[10],"of":[11,26,52,67,86,130,161,169,176],"dynamic":[12],"systems,":[13],"but":[14],"resulting":[16],"complexity":[17],"grows":[18],"more":[19],"than":[20],"exponentially":[21],"with":[22,127],"considered":[24],"degree":[25],"nonlinearity.":[27],"A":[28],"frequency-domain":[29,112],"representation":[31,157],"favorable":[33],"when":[34],"target":[36],"predicting":[38],"steady-state":[40],"response":[41],"to":[42,48,83,138,152,182,188],"periodic":[43],"signals,":[44],"and":[45,76],"pruning":[46,109],"methods":[47],"reduce":[49],"number":[51],"coefficients":[53,133],"have":[54],"been":[55],"proposed":[56,135],"by":[57],"exploiting":[58],"priori":[60],"knowledge":[61],"about":[62],"expected":[64],"amplitude":[65],"distribution":[66],"input":[69,170],"spectrum.":[70],"However,":[71],"in":[72,92,136],"principle,":[73],"further":[75],"complementary":[77],"simplification":[78],"can":[79],"be":[80],"attained":[81],"according":[82,187],"behavior":[85],"system,":[88,164],"which":[89,179],"reflected":[91],"input-output":[94],"signals":[95],"used":[96],"identification.":[99],"In":[100,120],"this":[101],"context,":[102],"present":[104],"paper":[105],"proposes":[106],"data-driven":[108],"method":[110],"models,":[114],"based":[115],"on":[116],"compressive":[117],"sensing":[118],"theory.":[119],"particular,":[121],"\u2113<inf":[122],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</inf>-norm":[124],"optimization":[125],"paired":[126],"accuracy-oriented":[128],"sparsification":[129],"estimated":[132],"order":[137],"prune":[139,184],"model":[141],"while":[142],"keeping":[143],"performance":[144],"under":[145,158],"control.":[146],"designed":[148],"technique":[149],"applied":[151],"identify":[153],"simplified":[155],"quasi-sinusoidal":[159],"conditions":[160],"Wiener-Hammerstein":[163],"considering":[165],"two":[166],"different":[167],"classes":[168],"signals.":[171],"Results":[172],"highlight":[173],"potentiality":[175],"approach,":[178],"able":[181],"effectively":[183],"models":[186],"predetermined":[190],"accuracy":[191],"target.":[192]},"counts_by_year":[],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}