{"id":"https://openalex.org/W2588053813","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852896","title":"Individual communication transmitter identification using correntropy-based collaborative representation","display_name":"Individual communication transmitter identification using correntropy-based collaborative representation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2588053813","doi":"https://doi.org/10.1109/cisp-bmei.2016.7852896","mag":"2588053813"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2016.7852896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5011317656","display_name":"Yingke Lei","orcid":"https://orcid.org/0000-0003-2238-9814"},"institutions":[{"id":"https://openalex.org/I4210097119","display_name":"PLA Electronic Engineering Institute","ror":"https://ror.org/00z0n4g71","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210097119"]},{"id":"https://openalex.org/I4210160629","display_name":"China Information Technology Security Evaluation Center","ror":"https://ror.org/053cexp66","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210160629"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying-Ke Lei","raw_affiliation_strings":["Electronic Engineering Institute, Hefei, China","Science and Technology on Communication Information, Security Control Laboratory, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"Electronic Engineering Institute, Hefei, China","institution_ids":["https://openalex.org/I4210097119"]},{"raw_affiliation_string":"Science and Technology on Communication Information, Security Control Laboratory, Zhejiang, China","institution_ids":["https://openalex.org/I4210160629"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011317656"],"corresponding_institution_ids":["https://openalex.org/I4210097119","https://openalex.org/I4210160629"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.80814509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"1194","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987999796867371,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.9987999796867371,"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/T10860","display_name":"Speech and Audio Processing","score":0.9977999925613403,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.996999979019165,"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/transmitter","display_name":"Transmitter","score":0.8714964389801025},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6833243370056152},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5970708727836609},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5625975728034973},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4978525638580322},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.49615487456321716},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.45023003220558167},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4460158348083496},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4431096911430359},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.43021726608276367},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.41481202840805054},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37162378430366516},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.15816211700439453},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11333036422729492}],"concepts":[{"id":"https://openalex.org/C47798520","wikidata":"https://www.wikidata.org/wiki/Q190157","display_name":"Transmitter","level":3,"score":0.8714964389801025},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6833243370056152},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5970708727836609},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5625975728034973},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4978525638580322},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.49615487456321716},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.45023003220558167},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4460158348083496},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4431096911430359},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.43021726608276367},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.41481202840805054},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37162378430366516},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.15816211700439453},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11333036422729492},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2016.7852896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2016.7852896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1551890228","https://openalex.org/W1993006085","https://openalex.org/W2000314239","https://openalex.org/W2004030806","https://openalex.org/W2031081839","https://openalex.org/W2050834445","https://openalex.org/W2068135762","https://openalex.org/W2085798233","https://openalex.org/W2101686135","https://openalex.org/W2109857912","https://openalex.org/W2113337943","https://openalex.org/W2114755071","https://openalex.org/W2115449888","https://openalex.org/W2118146444","https://openalex.org/W2120843085","https://openalex.org/W2124268221","https://openalex.org/W2129812935","https://openalex.org/W2132467081","https://openalex.org/W2134957651","https://openalex.org/W2135161976","https://openalex.org/W2137823674","https://openalex.org/W2150671643","https://openalex.org/W2158313596","https://openalex.org/W2163916252","https://openalex.org/W2164452299","https://openalex.org/W2165065548"],"related_works":["https://openalex.org/W2355663289","https://openalex.org/W2106913410","https://openalex.org/W4380372336","https://openalex.org/W2354248671","https://openalex.org/W2359134391","https://openalex.org/W2594116857","https://openalex.org/W2947628004","https://openalex.org/W2935229758","https://openalex.org/W2352791832","https://openalex.org/W2387913039"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"an":[3],"efficient":[4],"radio":[5,13,34,80],"transmitter":[6,42],"identification":[7,43],"method":[8],"is":[9,21],"proposed":[10,106],"for":[11,77],"identifying":[12,78],"transmitters.":[14],"The":[15],"square":[16],"integral":[17],"bispectra":[18],"(SIB)":[19],"transformation":[20],"firstly":[22],"utilized":[23],"to":[24,66,83],"extract":[25],"the":[26,29,38,45,59,84,87,90,102],"features":[27],"from":[28],"raw":[30],"signal":[31],"data":[32,99],"of":[33,40,47,104],"transmitters,":[35],"which":[36],"recasts":[37],"problem":[39],"communication":[41],"into":[44],"form":[46],"measuring":[48],"similarity":[49,85],"between":[50,86],"points":[51,88],"in":[52,89],"its":[53],"metric":[54],"space.":[55,93],"Then":[56],"we":[57],"use":[58],"collaborative":[60,73],"representation":[61,74],"framework":[62],"as":[63],"a":[64,68],"platform":[65],"develop":[67],"novel":[69],"classification":[70],"model,":[71],"correntropy-based":[72],"classifier":[75],"(CECRC),":[76],"different":[79],"transmitters":[81],"according":[82],"SIB":[91],"feature":[92],"Extensive":[94],"experimental":[95],"results":[96],"on":[97],"real-world":[98],"sets":[100],"demonstrate":[101],"effectiveness":[103],"our":[105],"method.":[107]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
