{"id":"https://openalex.org/W2040339732","doi":"https://doi.org/10.1109/bmei.2012.6512969","title":"Simultaneous multicomponent organic compound analysis using two intelligent signal processing methods","display_name":"Simultaneous multicomponent organic compound analysis using two intelligent signal processing methods","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2040339732","doi":"https://doi.org/10.1109/bmei.2012.6512969","mag":"2040339732"},"language":"en","primary_location":{"id":"doi:10.1109/bmei.2012.6512969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th 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/A5078435553","display_name":"Ling Gao","orcid":"https://orcid.org/0000-0003-2294-5155"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ling Gao","raw_affiliation_strings":["Department of Chemistry, Inner Mongolia University, Huhhot, China","Dept. of Chem., Inner Mongolia Univ., Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Dept. of Chem., Inner Mongolia Univ., Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100896532","display_name":"Shouxin Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shouxin Ren","raw_affiliation_strings":["Department of Chemistry, Inner Mongolia University, Huhhot, China","Dept. of Chem., Inner Mongolia Univ., Huhhot, China"],"affiliations":[{"raw_affiliation_string":"Department of Chemistry, Inner Mongolia University, Huhhot, China","institution_ids":["https://openalex.org/I2722730"]},{"raw_affiliation_string":"Dept. of Chem., Inner Mongolia Univ., Huhhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078435553"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08210624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"592","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9997000098228455,"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/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"}},{"id":"https://openalex.org/T11434","display_name":"Electrochemical Analysis and Applications","score":0.9732999801635742,"subfield":{"id":"https://openalex.org/subfields/1603","display_name":"Electrochemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"Independent component analysis","score":0.8694955110549927},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5259411931037903},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5239929556846619},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5171777009963989},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5170679688453674},{"id":"https://openalex.org/keywords/data-matrix","display_name":"Data Matrix","score":0.5055615901947021},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4826798737049103},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4740578532218933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4628673195838928},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4559417963027954},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.4469435214996338},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44661232829093933},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.44388359785079956},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4120948016643524},{"id":"https://openalex.org/keywords/blind-signal-separation","display_name":"Blind signal separation","score":0.4113560914993286},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.16136732697486877},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.07695630192756653}],"concepts":[{"id":"https://openalex.org/C51432778","wikidata":"https://www.wikidata.org/wiki/Q1259145","display_name":"Independent component analysis","level":2,"score":0.8694955110549927},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5259411931037903},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5239929556846619},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5171777009963989},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5170679688453674},{"id":"https://openalex.org/C2780985081","wikidata":"https://www.wikidata.org/wiki/Q676502","display_name":"Data Matrix","level":5,"score":0.5055615901947021},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4826798737049103},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4740578532218933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4628673195838928},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4559417963027954},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.4469435214996338},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44661232829093933},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.44388359785079956},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4120948016643524},{"id":"https://openalex.org/C120317606","wikidata":"https://www.wikidata.org/wiki/Q17105967","display_name":"Blind signal separation","level":3,"score":0.4113560914993286},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.16136732697486877},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.07695630192756653},{"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/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C193252679","wikidata":"https://www.wikidata.org/wiki/Q242125","display_name":"Phylogenetic tree","level":3,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C44465124","wikidata":"https://www.wikidata.org/wiki/Q713623","display_name":"Clade","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bmei.2012.6512969","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bmei.2012.6512969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 5th 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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1965980164","https://openalex.org/W1994881150","https://openalex.org/W2004933222","https://openalex.org/W2026373769","https://openalex.org/W2035225680","https://openalex.org/W2038122417","https://openalex.org/W2038828213","https://openalex.org/W2045556611","https://openalex.org/W2050206695","https://openalex.org/W2071563087","https://openalex.org/W2080786199","https://openalex.org/W2098914003","https://openalex.org/W2123649031","https://openalex.org/W2124757684","https://openalex.org/W2139896607","https://openalex.org/W2152328854","https://openalex.org/W2156447271","https://openalex.org/W2156982859","https://openalex.org/W2167217202","https://openalex.org/W2511437437","https://openalex.org/W6680731341"],"related_works":["https://openalex.org/W2390344110","https://openalex.org/W2364896863","https://openalex.org/W2361066326","https://openalex.org/W2046761971","https://openalex.org/W2182042810","https://openalex.org/W2156932837","https://openalex.org/W2380698615","https://openalex.org/W374502268","https://openalex.org/W2103029460","https://openalex.org/W1785857632"],"abstract_inverted_index":{"Two":[0,175],"intelligent":[1],"signal":[2,48],"processing":[3,49],"methods,":[4],"independent":[5,66,159],"component":[6,42],"analysis-based":[7],"latent":[8,17,171],"variable":[9,18,172],"regression":[10,19,173],"(ICA-LVR)":[11],"and":[12,37,69,97,102,117,124,131,178,192,206],"wavelet":[13],"packet":[14,88],"transform":[15],"based":[16],"method":[20],"(WPT-LVR)":[21],"methods":[22,194],"were":[23,126,142,180],"developed":[24,47],"to":[25,64,128,132,182,195],"perform":[26,183],"simultaneous":[27,184],"spectrophotometric":[28],"determination":[29],"of":[30,90,106,157,204],"methy1":[31],"salicylate":[32],"(MSA),":[33],"dibuty1":[34],"phthalate":[35],"(DBP)":[36],"potassium":[38],"hydrogenphthalate":[39],"(PHP).":[40],"Independent":[41],"analysis":[43],"is":[44],"a":[45,93],"newly":[46],"technique":[50],"aiming":[51],"at":[52],"solving":[53],"related":[54],"blind":[55],"source":[56,67,160],"separation":[57,98],"(BSS)":[58],"problem.":[59],"ICA":[60,123],"can":[61,110],"be":[62,111,196],"used":[63,127],"extract":[65,133],"variables":[68,141],"their":[70],"corresponding":[71],"concentration":[72,166],"data":[73],"from":[74,135],"the":[75,85,107,136,146,158,190,208,212],"observed":[76,137],"mixture":[77,138],"spectra":[78,205],"without":[79],"using":[80,114],"any":[81],"prior":[82],"knowledge":[83],"about":[84],"components.":[86],"Wavelet":[87],"representations":[89],"signals":[91,150,164],"provided":[92],"local":[94],"time-frequency":[95],"description":[96],"ability":[99],"between":[100],"information":[101,134],"noise.":[103],"The":[104,155],"quality":[105],"noise":[108],"removal":[109],"improved":[112],"by":[113,144,170],"best-basis":[115],"algorithm":[116],"thresholding":[118],"operation.":[119],"In":[120],"this":[121],"case,":[122],"WPT":[125],"reduce":[129],"dimensionality":[130],"spectra.":[139],"Latent":[140],"made":[143],"projecting":[145],"ICA-processed":[147],"or":[148,162],"WPT-processed":[149,163],"onto":[151],"orthogonal":[152],"basis":[153],"eigenvectors.":[154],"model":[156],"matrix":[161,167],"with":[165],"was":[168,201],"build":[169],"(LVR).":[174],"programs,":[176],"GICALVR":[177],"GWPTLVR,":[179],"designed":[181],"multicomponent":[185],"determination.":[186],"Experimental":[187],"results":[188],"showed":[189],"ICA-LVR":[191],"WPT-LVR":[193],"successful":[197],"even":[198],"where":[199],"there":[200],"severe":[202],"overlap":[203],"had":[207],"clear":[209],"superiority":[210],"over":[211],"LVR":[213],"method.":[214]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
