{"id":"https://openalex.org/W2894539210","doi":"https://doi.org/10.1109/ssiai.2018.8470371","title":"Complex Correntropy Induced Metric Applied to Compressive Sensing with Complex-Valued Data","display_name":"Complex Correntropy Induced Metric Applied to Compressive Sensing with Complex-Valued Data","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2894539210","doi":"https://doi.org/10.1109/ssiai.2018.8470371","mag":"2894539210"},"language":"en","primary_location":{"id":"doi:10.1109/ssiai.2018.8470371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","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/A5103248918","display_name":"Jo\u00e3o P. F. Guimar\u00e3es","orcid":"https://orcid.org/0000-0002-5503-4246"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Joao P. F. Guimaraes","raw_affiliation_strings":["Federal Institute of Rio Grande do Norte, Natal, RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Rio Grande do Norte, Natal, RN, Brazil","institution_ids":["https://openalex.org/I3020002803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001834171","display_name":"Alu\u00edsio I. R. Fontes","orcid":"https://orcid.org/0000-0002-1888-3505"},"institutions":[{"id":"https://openalex.org/I3020002803","display_name":"Instituto Federal do Rio Grande do Norte","ror":"https://ror.org/04je48v27","country_code":"BR","type":"education","lineage":["https://openalex.org/I3020002803"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Aluisio I. R. Fontes","raw_affiliation_strings":["Federal Institute of Rio Grande do Norte, Natal, RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal Institute of Rio Grande do Norte, Natal, RN, Brazil","institution_ids":["https://openalex.org/I3020002803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102792817","display_name":"Felipe B. da Silva","orcid":"https://orcid.org/0000-0002-0880-5095"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felipe B. da Silva","raw_affiliation_strings":["Campus Universitario, Federal University of Rio Grande do Norte, Natal, RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Campus Universitario, Federal University of Rio Grande do Norte, Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025519781","display_name":"Allan Martins","orcid":"https://orcid.org/0000-0002-9486-4509"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allan de M. Martins","raw_affiliation_strings":["Department of ECE, University of Texas at El Paso, El Paso, TX"],"affiliations":[{"raw_affiliation_string":"Department of ECE, University of Texas at El Paso, El Paso, TX","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034517840","display_name":"Ricardo von Borries","orcid":"https://orcid.org/0000-0003-2200-4312"},"institutions":[{"id":"https://openalex.org/I35046152","display_name":"Universidade Federal do Rio Grande do Norte","ror":"https://ror.org/04wn09761","country_code":"BR","type":"education","lineage":["https://openalex.org/I35046152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ricardo von Borries","raw_affiliation_strings":["Campus Universitario, Federal University of Rio Grande do Norte, Natal, RN, Brazil"],"affiliations":[{"raw_affiliation_string":"Campus Universitario, Federal University of Rio Grande do Norte, Natal, RN, Brazil","institution_ids":["https://openalex.org/I35046152"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103248918"],"corresponding_institution_ids":["https://openalex.org/I3020002803"],"apc_list":null,"apc_paid":null,"fwci":0.4054,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59870992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"21","last_page":"24"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994999766349792,"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":0.9994000196456909,"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/metric","display_name":"Metric (unit)","score":0.8607800006866455},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.6503039598464966},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6178842186927795},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5690328478813171},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.46072012186050415},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.45421233773231506},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4437200129032135},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"Signal reconstruction","score":0.4350821375846863},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42583978176116943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39802661538124084},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3749440312385559},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08781611919403076}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.8607800006866455},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.6503039598464966},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6178842186927795},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5690328478813171},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.46072012186050415},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.45421233773231506},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4437200129032135},{"id":"https://openalex.org/C70958404","wikidata":"https://www.wikidata.org/wiki/Q7512728","display_name":"Signal reconstruction","level":4,"score":0.4350821375846863},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42583978176116943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39802661538124084},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3749440312385559},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08781611919403076},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ssiai.2018.8470371","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssiai.2018.8470371","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W565868953","https://openalex.org/W1574732127","https://openalex.org/W2027548969","https://openalex.org/W2101149304","https://openalex.org/W2111052925","https://openalex.org/W2119667497","https://openalex.org/W2135160607","https://openalex.org/W2139667220","https://openalex.org/W2145096794","https://openalex.org/W2558844075","https://openalex.org/W2588594309","https://openalex.org/W3022466517","https://openalex.org/W4230367971","https://openalex.org/W4240933404","https://openalex.org/W6634605999","https://openalex.org/W6680575119","https://openalex.org/W6733812200"],"related_works":["https://openalex.org/W2378166785","https://openalex.org/W2156466545","https://openalex.org/W2379468505","https://openalex.org/W3104324607","https://openalex.org/W2208932071","https://openalex.org/W4206981968","https://openalex.org/W1987102304","https://openalex.org/W2601968125","https://openalex.org/W2308961925","https://openalex.org/W4285251805"],"abstract_inverted_index":{"The":[0,56],"correntropy":[1,12],"induced":[2,9],"metric":[3,8,58],"(CIM)":[4],"is":[5,112],"a":[6,104],"well-defined":[7],"by":[10,50],"the":[11,32,40,43,60,81,84,88,97,121,124],"function":[13],"and":[14,24],"has":[15],"been":[16],"applied":[17,86],"to":[18,31,42],"different":[19],"problems":[20],"in":[21,87,96,103],"signal":[22],"processing":[23],"machine":[25],"learning,":[26],"but":[27,72],"CIM":[28,41],"was":[29],"limited":[30],"case":[33,44],"of":[34,45,64,90,99,123],"real-valued":[35],"data.":[36,77],"This":[37],"paper":[38,82],"extends":[39],"complex-":[46],"valued":[47],"data,":[48],"denoted":[49],"Complex":[51],"Correntropy":[52],"Induced":[53],"Metric":[54],"(CCIM).":[55],"new":[57,126],"preserves":[59],"well":[61,115],"known":[62],"benefits":[63],"extracting":[65],"high":[66],"order":[67],"statistical":[68],"information":[69],"from":[70],"correntropy,":[71],"now":[73],"dealing":[74],"with":[75],"complex-valued":[76,100],"As":[78],"an":[79],"example,":[80],"shows":[83],"CCIM":[85],"approximation":[89],"\u2113":[91],"<sub":[92],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0</sub>":[94],"-minimization":[95],"reconstruction":[98],"sparse":[101],"signals":[102],"compressive":[105],"sensing":[106],"problem":[107],"formulation.":[108],"A":[109],"mathematical":[110],"proof":[111],"presented":[113],"as":[114,116],"simulation":[117],"results":[118],"that":[119],"indicate":[120],"viability":[122],"proposed":[125],"metric.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
