{"id":"https://openalex.org/W2062246046","doi":"https://doi.org/10.1109/bmei.2013.6746922","title":"Extracting post-nonlinear signals based on Gaussianizing transformation","display_name":"Extracting post-nonlinear signals based on Gaussianizing transformation","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2062246046","doi":"https://doi.org/10.1109/bmei.2013.6746922","mag":"2062246046"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2013.6746922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6746922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","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/A5003115287","display_name":"Dongxiao Ren","orcid":"https://orcid.org/0000-0002-5868-1684"},"institutions":[{"id":"https://openalex.org/I4210132981","display_name":"Ningxia Water Conservancy","ror":"https://ror.org/02p2qrw13","country_code":"CN","type":"funder","lineage":["https://openalex.org/I4210132981"]},{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dongxiao Ren","raw_affiliation_strings":["State Grid Ningxia Electric Power Information & Communication Company, Yinchuan, China","State Grid Ningxia Electr. Power Inf. & Commun. Co., Yinchuan, China"],"affiliations":[{"raw_affiliation_string":"State Grid Ningxia Electric Power Information & Communication Company, Yinchuan, China","institution_ids":["https://openalex.org/I4210132981"]},{"raw_affiliation_string":"State Grid Ningxia Electr. Power Inf. & Commun. Co., Yinchuan, China","institution_ids":["https://openalex.org/I17442442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100726998","display_name":"Zhonghua Wang","orcid":"https://orcid.org/0000-0002-1370-482X"},"institutions":[{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]},{"id":"https://openalex.org/I4392738113","display_name":"China Electric Power Research Institute","ror":"https://ror.org/05ehpzy81","country_code":null,"type":"facility","lineage":["https://openalex.org/I17442442","https://openalex.org/I4392738113"]},{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhonghua Wang","raw_affiliation_strings":["Beijing China-Power Information Technology Co, Ltd. of China Electric Power Research Institute, China","China Electr. Power Res. Inst., Beijing China-Power Inf. Technol. Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing China-Power Information Technology Co, Ltd. of China Electric Power Research Institute, China","institution_ids":["https://openalex.org/I153473198","https://openalex.org/I4392738113"]},{"raw_affiliation_string":"China Electr. Power Res. Inst., Beijing China-Power Inf. Technol. Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I4210120238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003115287"],"corresponding_institution_ids":["https://openalex.org/I4210132981","https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1253833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":null,"first_page":"137","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9997000098228455,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9900000095367432,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/kurtosis","display_name":"Kurtosis","score":0.8231135606765747},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.6776992082595825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6011601090431213},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5982463955879211},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.535306453704834},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.471696138381958},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4499835968017578},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4480861723423004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44447553157806396},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.42785656452178955},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.41962915658950806},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4183703660964966},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35814958810806274},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28236544132232666},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10802802443504333},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10350534319877625}],"concepts":[{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.8231135606765747},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.6776992082595825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6011601090431213},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5982463955879211},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.535306453704834},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.471696138381958},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4499835968017578},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4480861723423004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44447553157806396},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.42785656452178955},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41962915658950806},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4183703660964966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35814958810806274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28236544132232666},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10802802443504333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10350534319877625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"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/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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2013.6746922","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2013.6746922","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 6th International Conference on Biomedical Engineering and Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W616068789","https://openalex.org/W1489793438","https://openalex.org/W1529121272","https://openalex.org/W1985193018","https://openalex.org/W2006547268","https://openalex.org/W2034329025","https://openalex.org/W2042461819","https://openalex.org/W2050395814","https://openalex.org/W2070333688","https://openalex.org/W2096310403","https://openalex.org/W2100215493","https://openalex.org/W2119645668","https://openalex.org/W2120206050","https://openalex.org/W2141224535","https://openalex.org/W2146871592","https://openalex.org/W2159590555","https://openalex.org/W2166221887","https://openalex.org/W2534670394","https://openalex.org/W4205778870","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W2075698830","https://openalex.org/W3127045225","https://openalex.org/W3216026256","https://openalex.org/W2059891554","https://openalex.org/W2027857183"],"abstract_inverted_index":{"The":[0,21,104],"problem":[1,98],"of":[2,30,108],"extracting":[3,35],"the":[4,8,12,36,44,48,54,58,62,78,88,109],"desired":[5,37,63,89],"source":[6,38,90],"as":[7,66,73],"first":[9],"output":[10],"from":[11],"post-nonlinear":[13],"(PNL)":[14],"mixture":[15,50],"is":[16,24,71,91],"addressed":[17],"in":[18,47],"this":[19,95],"paper.":[20],"proposed":[22,110],"solution":[23,111],"a":[25,31,83],"two-stage":[26],"process":[27],"that":[28],"consists":[29],"Gaussianizing":[32,55],"transformation":[33],"and":[34,75,106,118],"with":[39,99],"specific":[40],"kurtosis":[41,69],"range.":[42],"First,":[43],"nonlinear":[45],"distortions":[46],"PNL":[49],"are":[51,112],"compensated":[52],"by":[53,93],"transformation.":[56],"Then,":[57],"prior":[59],"knowledge":[60],"about":[61],"source,":[64],"such":[65],"their":[67],"normalized":[68],"range,":[70],"treated":[72],"constraints":[74],"incorporated":[76],"into":[77],"contrast":[79],"function":[80],"to":[81],"form":[82],"constrained":[84,96],"optimization":[85,97],"problem.":[86],"Finally,":[87],"extracted":[92],"minimizing":[94],"standard":[100],"gradient":[101],"descent":[102],"method.":[103],"validity":[105],"performance":[107],"confirmed":[113],"through":[114],"extensive":[115],"computer":[116],"simulations":[117],"experiments":[119],"on":[120],"real-world":[121],"ECG":[122],"data.":[123]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}