{"id":"https://openalex.org/W2902516003","doi":"https://doi.org/10.23919/eusipco.2018.8553268","title":"Rethinking Compressive Sensing","display_name":"Rethinking Compressive Sensing","publication_year":2018,"publication_date":"2018-09-01","ids":{"openalex":"https://openalex.org/W2902516003","doi":"https://doi.org/10.23919/eusipco.2018.8553268","mag":"2902516003"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco.2018.8553268","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","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/A5087186791","display_name":"Giuseppe Campobello","orcid":"https://orcid.org/0000-0003-4763-9904"},"institutions":[{"id":"https://openalex.org/I112862951","display_name":"University of Messina","ror":"https://ror.org/05ctdxz19","country_code":"IT","type":"education","lineage":["https://openalex.org/I112862951"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Giuseppe Campobello","raw_affiliation_strings":["Department of Engineering, University of Messina, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Messina, Italy","institution_ids":["https://openalex.org/I112862951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087186791"],"corresponding_institution_ids":["https://openalex.org/I112862951"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14782399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1765","last_page":"1769"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing 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/T10500","display_name":"Sparse and Compressive Sensing 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":0.9988999962806702,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/compressed-sensing","display_name":"Compressed sensing","score":0.8743212223052979},{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.7740551233291626},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5794354677200317},{"id":"https://openalex.org/keywords/impulse-response","display_name":"Impulse response","score":0.5431117415428162},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47457054257392883},{"id":"https://openalex.org/keywords/impulse","display_name":"Impulse (physics)","score":0.4563097059726715},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.43216776847839355},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.43123167753219604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2724302411079407},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18860751390457153},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.14078590273857117},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1298099160194397},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.11896336078643799},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.06993457674980164}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8743212223052979},{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.7740551233291626},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5794354677200317},{"id":"https://openalex.org/C72279823","wikidata":"https://www.wikidata.org/wiki/Q1139726","display_name":"Impulse response","level":2,"score":0.5431117415428162},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47457054257392883},{"id":"https://openalex.org/C70836080","wikidata":"https://www.wikidata.org/wiki/Q837940","display_name":"Impulse (physics)","level":2,"score":0.4563097059726715},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.43216776847839355},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.43123167753219604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2724302411079407},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18860751390457153},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.14078590273857117},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1298099160194397},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.11896336078643799},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.06993457674980164},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco.2018.8553268","is_oa":false,"landing_page_url":"https://doi.org/10.23919/eusipco.2018.8553268","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 26th European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W178056938","https://openalex.org/W1965324089","https://openalex.org/W1976114290","https://openalex.org/W2017761965","https://openalex.org/W2044628510","https://openalex.org/W2059793602","https://openalex.org/W2064403043","https://openalex.org/W2104266187","https://openalex.org/W2127271355","https://openalex.org/W2129638195","https://openalex.org/W2152231009","https://openalex.org/W2156364114","https://openalex.org/W2167077875","https://openalex.org/W2296616510","https://openalex.org/W2299120070","https://openalex.org/W2408480187","https://openalex.org/W2803670972","https://openalex.org/W3098520355","https://openalex.org/W3124617746","https://openalex.org/W4250955649","https://openalex.org/W4254971495","https://openalex.org/W4299432846"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W1506384729","https://openalex.org/W2037499216","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W2075698830","https://openalex.org/W3127045225","https://openalex.org/W3216026256","https://openalex.org/W2140267235","https://openalex.org/W1975973603"],"abstract_inverted_index":{"In":[0],"this":[1,19],"paper":[2],"we":[3,21,33],"show":[4],"that":[5,35],"Compressive":[6],"Sensing":[7],"(CS)":[8],"can":[9],"be":[10],"casted":[11],"as":[12],"an":[13],"impulse":[14],"response":[15],"estimation":[16],"problem.":[17],"Using":[18],"interpretation":[20],"re-obtain":[22],"some":[23],"theoretical":[24],"results":[25],"of":[26,39,51],"CS":[27],"in":[28,36],"a":[29,40],"simple":[30],"manner.":[31],"Moreover,":[32],"prove":[34],"the":[37,49,52],"case":[38],"randomly":[41],"generated":[42],"sensing":[43],"matrix,":[44],"reconstruction":[45],"probability":[46],"depends":[47],"on":[48],"kurtosis":[50],"distribution":[53],"used":[54],"for":[55],"its":[56],"generation.":[57]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
