{"id":"https://openalex.org/W2889122850","doi":"https://doi.org/10.1109/ssp.2018.8450796","title":"Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition","display_name":"Signal-to-Noise-Ratio Analysis of Compressive Data Acquisition","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2889122850","doi":"https://doi.org/10.1109/ssp.2018.8450796","mag":"2889122850"},"language":"en","primary_location":{"id":"doi:10.1109/ssp.2018.8450796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","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/A5034679451","display_name":"Radmila Pribi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I2800808753","display_name":"Thales (Netherlands)","ror":"https://ror.org/032tp7158","country_code":"NL","type":"company","lineage":["https://openalex.org/I2800808753","https://openalex.org/I4210140930"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Radmila Pribic","raw_affiliation_strings":["Sensors Advanced Developments, Thales Nederland, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Sensors Advanced Developments, Thales Nederland, Delft, The Netherlands","institution_ids":["https://openalex.org/I2800808753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089101522","display_name":"Geert Leus","orcid":"https://orcid.org/0000-0001-8288-867X"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Geert Leus","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018881238","display_name":"Christos Tzotzadinis","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Christos Tzotzadinis","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034679451"],"corresponding_institution_ids":["https://openalex.org/I2800808753"],"apc_list":null,"apc_paid":null,"fwci":1.0134,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73729993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"58","issue":null,"first_page":"603","last_page":"607"},"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/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/compressed-sensing","display_name":"Compressed sensing","score":0.8201891779899597},{"id":"https://openalex.org/keywords/data-acquisition","display_name":"Data acquisition","score":0.6596912741661072},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6420770883560181},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6374584436416626},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.6005773544311523},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5412364602088928},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.4189613163471222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2632008194923401},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.19971010088920593},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17114827036857605},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16863766312599182}],"concepts":[{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.8201891779899597},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.6596912741661072},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6420770883560181},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6374584436416626},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.6005773544311523},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5412364602088928},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.4189613163471222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2632008194923401},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.19971010088920593},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17114827036857605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16863766312599182},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssp.2018.8450796","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssp.2018.8450796","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Statistical Signal Processing Workshop (SSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:tudelft.nl:uuid:8f362426-5fd4-4b03-8036-e1f2382f3b71","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:8f362426-5fd4-4b03-8036-e1f2382f3b71","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1562880910","https://openalex.org/W1581917596","https://openalex.org/W1892981132","https://openalex.org/W1980300788","https://openalex.org/W2052232897","https://openalex.org/W2062411789","https://openalex.org/W2103164394","https://openalex.org/W2135046866","https://openalex.org/W2296616510","https://openalex.org/W2563671062","https://openalex.org/W2791303041","https://openalex.org/W3099216600","https://openalex.org/W4250955649"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W2358292267","https://openalex.org/W2157715872","https://openalex.org/W2378166785","https://openalex.org/W2537887767","https://openalex.org/W4308823735"],"abstract_inverted_index":{"Data":[0],"acquisition":[1,58,92],"in":[2],"compressive":[3,56,90],"sensing":[4],"(CS)":[5],"is":[6,21,75,103],"commonly":[7],"believed":[8],"to":[9,46],"be":[10],"less":[11,15,104],"complicated,":[12],"and":[13,34,78,106],"even":[14],"costly,":[16],"while":[17],"performing":[18],"agreeably.":[19],"There":[20],"a":[22,37,87],"major":[23],"lack":[24],"of":[25,36,54,89],"measureable":[26],"foundations":[27],"supporting":[28],"this":[29],"optimism":[30],"as":[31,109],"the":[32,48,52,61,69],"performance":[33,53],"complexity":[35],"CS":[38,102],"sensor":[39],"have":[40],"hardly":[41],"been":[42],"quantified.":[43],"We":[44],"aim":[45],"fill":[47],"gap":[49],"by":[50,60],"computing":[51],"diverse":[55],"data":[57,91],"schemes":[59],"output":[62],"signal-to-noise":[63],"ratio":[64],"(SNR)":[65],"they":[66],"provide":[67],"with":[68,82,86],"same":[70],"input":[71],"signal.":[72],"The":[73],"SNR":[74],"assessed":[76],"analytically,":[77],"also":[79],"confirmed":[80],"numerically":[81],"simulated":[83],"data.":[84],"Only":[85],"scheme":[88],"starting":[93],"directly":[94],"at":[95],"reception":[96],"(with":[97],"no":[98],"receiver":[99],"noise":[100],"yet),":[101],"complicated":[105],"still":[107],"performs":[108],"good":[110],"as,":[111],"if":[112],"not":[113],"better":[114],"than,":[115],"existing":[116],"sensing.":[117]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}