{“id”:“https://openalex.org/W1970333613“,”doi“:”https://doi.org/10.1109/icsps.2013.66388864“,”title“:”Power-CCA:最大化预测功率之间的相关系数“,”display_name“:”PowerP-CCA:最大化预测功率间的相关系数”,“publication_year”:2013,“publiction_date”:“2013-05-01”,“ids”:{“openalex”:“https://openalex.org/W1970333613“,”doi“:”https://doi.org/10.109/icassp.2013.6638864“,”mag“:”1970333613“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1109/icsps.2013.66388864“,”pdf_url“:null,”source“:null,”license“:null',”licence_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false},”type“:”article“,”type_crossref“:“procesdings-article”,”indexed_in“:[”crossref“],”open_access“:{”is_oa“:false,”oa_status“:”closed“,”oa_url”:null“,”any_repository_has_fulltext“:false}”,”authorships“:[{”author_position“:”first“,”作者“:{”id“:”https://openalex.org/A5058914830“,”display_name“:”David Ram\u00edrez“,”orcid“:”https://orcid.org/0000-0002-6883-7742},“机构”:[{“id”:https://openalex.org/I206945453“,”display_name“:”帕德博恩大学“,”ror“:”https://ror.org/058kzsd48“,”country_code“:”DE“,”type“:“教育”,”世系“:[”https://openalex.org/I206945453“]}],”国家“:[”DE“],”is_corresponding“:false,”raw_author_name“:”David Ramirez“,”raw _ afiliation_strings“:[“德国帕德博恩大学信号与系统理论小组”],”affiliations“:[{”raw_ afiliation _string“:”德国帕德伯恩大学信号和系统理论小组https://openalex.org/I206945453“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5006601601“,”display_name“:”Peter J.Schreier“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I206945453“,”display_name“:”帕德博恩大学“,”ror“:”https://ror.org/058kzsd48“,”country_code“:”DE“,”type“:“教育”,”世系“:[”https://openalex.org/I206945453“]}],”countries“:[”DE“],”is_corresponding“:false,”raw_author_name“:”Peter J.Schreier“,”raw_affiation_strings“:[”德国帕德博恩大学信号与系统理论组“],”affiliations“:[{”raw_affiation_string“:”德国帕德博恩大学信号与系统理论组“,”institution_ids“:[”https://openalex.org/I206945453“]}]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5071269640“,”display_name“:”Javier V\u00eda“,”orcid“:null},”institutions“:[{”id“:”https://openalex.org/I13134134“,”display_name“:”坎塔布里亚大学“,”ror“:”https://ror.org/046ffzj20“,”country_code“:”ES“,”type“:“教育”,”世系“:[”https://openalex.org/I13134134“]}],”国家“:[”ES“],”is_corresponding“:false,”raw_author_name“:”Javier Via“,”raw _affiliation_strings“:[“西班牙桑坦德坎塔布里亚大学高级信号处理小组”],“affiliations”:[{“raw _afiliation_string”:“西班牙桑坦坎塔布里亚大学高级信息处理小组”,“institution_ids”:[”https://openalex.org/I13134134“]}]},{”author_position“:”last“,”author“:{”id“:”https://openalex.org/A5025505609“,”display_name“:”Vadim V.Nikulin“,”orcid“:”https://orcid.org/0000-0001-6082-3859},“机构”:[{“id”:https://openalex.org/I7877124“,”display_name“:”Charit\u00e9-University\u00e4tsmedizin Berlin“,”ror“:”https://ror.org/001w7jn25“,”country_code“:”DE“,”type“:“healthcare”,“lineage”:[“https://openalex.org/I7877124“]}],”countries“:[”DE“],”is_corresponding“:false,”raw_author_name“:”Vadim V.Nikulin“,”raw_affiation_strings“:[”Neurophysics Group,Charit\u00e9-University Medicine,Berlin,Germany“],”affiliations“:[{”raw_affiation_string“:”Neurophysics Group,Charit\u00e9-University Medicine,Berlin,Germany“,”机构_ids“:[”https://openalex.org/I7877124“]}]}],”countries_distinct_count“:2,”institutions_disting_count”:3,”corresponding_author_ids“:[],”corresponding_institution_ids”:[]、“apc_list”:null,”apc_payed“:null、”fwci“:0.355、“has_fulltext”:true,“fulltext_origin”:“ngrams”,“cited_by_count):1,”cited_by_percentile_year“:{”min“:69,”max“:76},”biblio“:{”volume“:null,”issue“:nul,”first_page“:null,”last_page“:null},”is_retracted“:false,”is_paratext“:fase,”primary_topic“:{”id“:”https://openalex.org/T10581“,”“display_name”:“皮层网络中的神经元振荡”,“score”:0.9997,“subfield”:{“id”:“https://openalex.org/subfields/2805“,”display_name“:”认知神经科学“},”field“:{”id“:”https://openalex.org/fields/28“,”display_name“:”Neuroscience“},”domain“:{”id“:”https://openalex.org/domains/1“,”display_name“:”生命科学“}},”主题“:[{”id“:”https://openalex.org/T10581“,”display_name“:”皮层网络中的神经元振荡“,”score“:0.9997,”subfield“:{”id“:”https://openalex.org/subfields/2805“,”display_name“:”认知神经科学“},”field“:{”id“:”https://openalex.org/fields/28“,”display_name“:”Neuroscience“},”domain“:{”id“:”https://openalex.org/domains/1“,”display_name“:”生命科学“}},{”id“:”https://openalex.org/T11447“,”“display_name”:“盲源分离与独立分量分析”,“score”:0.9993,“subfield”:{“id”:“https://openalex.org/subfields/1711“,”display_name“:”信号处理“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T10320“,”display_name“:”神经网络基础与应用“,”score“:0.9926,”subfield“:{”id“:”https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/independent-component-analysis网站“,”display_name“:”独立成分分析“,”score“:0.542364},{”id“:”https://openalex.org/keywords/signal-decomposition网站“,”display_name“:”信号分解“,”score“:0.533391},{”id“:”https://openalex.org/keywords/backpropagation-learning网站“,”display_name“:”反向传播学习“,”score“:0.525328},{”id“:”https://openalex.org/keywords/convolutional-mixes网站“,”display_name“:”卷积混合“,”score“:0.518722},{”id“:”https://openalex.org/keywords/function-aapproximation网站“,”display_name“:”函数近似“,”score“:0.518671}],”concepts“:[{”id“:”https://openalex.org/C153874254,“wikidata”:https://www.wikidata.org/wiki/Q115542“,”display_name“:”典型相关“,”level“:2,”score“:0.75798965},{”id“:”https://openalex.org/C556910895,“wikidata”:https://www.wikidata.org/wiki/Q384188“,”display_name“:”磁脑造影“,”level“:3,”score“:0.7537291},{”id“:”https://openalex.org/C22789450,“wikidata”:https://www.wikidata.org/wiki/Q420904“,”display_name“:”奇异值分解“,”level“:2,”score“:0.6995255},{”id“:”https://openalex.org/C2781181686,“wikidata”:https://www.wikidata.org/wiki/Q4226068“,”display_name“:”一致性(哲学赌博策略)“,”level“:2,”score“:0.6065686},{”id“:”https://openalex.org/C180205008,“wikidata”:https://www.wikidata.org/wiki/Q159190“,”display_name“:”振幅“,”级别“:2,”分数“:0.5328289},{”id“:”https://openalex.org/C2780092901,“wikidata”:https://www.wikidata.org/wiki/Q3433612“,”display_name“:”相关系数“,”level“:2,”score“:0.50182486},{”id“:”https://openalex.org/C106487976,“wikidata”:https://www.wikidata.org/wiki/Q685816“,”display_name“:”Matrix(化学分析)“,”level“:2,”score“:0.47716016},{”id“:”https://openalex.org/C117220453,“wikidata”:https://www.wikidata.org/wiki/Q5172842网址“,”display_name“:”相关性“,”级别“:2,”分数“:0.47430325},{”id“:”https://openalex.org/C185142706,“wikidata”:https://www.wikidata.org/wiki/Q1134404“,”display_name“:”协方差矩阵“,”level“:2,”score“:0.46832898},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.45719424},{”id“:”https://openalex.org/C163258240,“wikidata”:https://www.wikidata.org/wiki/Q25342“,”display_name“:”Power(physical)“,”level“:2,”score“:0.45382723},{”id“:”https://openalex.org/C522805319,“wikidata”:https://www.wikidata.org/wiki/Q179965“,”display_name“:”脑电图“,”level“:2,”score“:0.4449039},{”id“:”https://openalex.org/C109282560,“wikidata”:https://www.wikidata.org/wiki/Q4166054“,”display_name“:”奇异值“,”level“:3,”score“:0.43022496},{”id“:”https://openalex.org/C33923547,“wikidata”:https://www.wikidata.org/wiki/Q395“,”display_name“:”数学“,”等级“:0,”分数“:0.4282299},{”id“:”https://openalex.org/C153180895,“wikidata”:https://www.wikidata.org/wiki/Q7148389“,”display_name“:”模式识别(心理学)“,”level“:2,”score“:0.3735736},{”id“:”https://openalex.org/C11413529,“wikidata”:https://www.wikidata.org/wiki/Q8366“,”display_name“:”Algorithm“,”level“:1,”score“:0.35720176},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.3153004},{”id“:”https://openalex.org/C121332964,“wikidata”:https://www.wikidata.org/wiki/Q413“,”display_name“:”物理“,”等级“:0,”分数“:0.17825985},{”id“:”https://openalex.org/C105795698,“wikidata”:https://www.wikidata.org/wiki/Q12483“,”display_name“:”Statistics“,”level“:1,”score“:0.15040413},{”id“:”https://openalex.org/C15744967,“wikidata”:https://www.wikidata.org/wiki/Q9418“,”display_name“:”心理学“,”等级“:0,”分数“:0.0},{”id“:”https://openalex.org/C192562407,“wikidata”:https://www.wikidata.org/wiki/Q228736“,”display_name“:”材料科学“,”level“:0,”score“:0.0},{”id“:”https://openalex.org/C2524010,“wikidata”:https://www.wikidata.org/wiki/Q8087“,”display_name“:”Geometry“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C158693339,“wikidata”:https://www.wikidata.org/wiki/Q190524“,”display_name“:”特征值和特征向量“,”level“:2,”score“:0.0},{”id“:”https://openalex.org/C62520636,“wikidata”:https://www.wikidata.org/wiki/Q944“,”display_name“:”量子力学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C118552586,“wikidata”:https://www.wikidata.org/wiki/Q7867“,”display_name“:”精神病学“,”level“:1,”score“:0.0},{”id“:”https://openalex.org/C159985019,“wikidata”:https://www.wikidata.org/wiki/Q181790“,”display_name“:”复合材质“,”level“:1,”score“:0.0}],”mesh“:[],”locations_count“:1.”locations“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.109/icassp.2013.6638864“,”pdf_url“:null,”source“:null,”license“:null:”license_id“:null,”version“:nuller,”is_accepted“:false,”is_published“:false}],”best_oa_location“:nul,”sustainable_development_goals“:[],”grants“:[],”datasets“:],”versions“:[]:”,“referenced_works_count”:13,“referrenced_works”:[”https://openalex.org/W1976751953","https://openalex.org/W2000825868","https://openalex.org/W206280282","https://openalex.org/W2077491345","https://openalex.org/W2113074910","https://openalex.org/W2128762995","https://openalex.org/W2142252711","https://openalex.org/W2157501632","https://openalex.org/W2160447507网址","https://openalex.org/W2164152532","https://openalex.org/W2165730296","https://openalex.org/W2321552821","https://openalex.org/W4237723258网址“],”related_works“:[”https://openalex.org/W4386721910","https://openalex.org/W4382583540","https://openalex.org/W4378770618","https://openalex.org/W4319586039","https://openalex.org/W2164147222","https://openalex.org/W2148568324","https://openalex.org/W2043573028","https://openalex.org/W2038393145","https://openalex.org/W1990844505","https://openalex.org/W1607100495“],”ngrams_url“:”https://api.openalex.org/works/W1970333613/ngrams“,”abstract_inverted_index“:{”This“:[0,68],”work“:[1],”presents“:[2],”a“:[3,42,48,59,64,77],”variation“:[4],”of“:[5,18,52,58,85,99107],”canonical“:[6],”correlation“:[7,12],”analysis“:[8],”(CCA),“:[9],”where“:[10],”the“:[11,15,19,26,53],”系数“:[13],”between“:[14,25110],”瞬时“:[16],”功率“:[17],”投影“:[20,27],”是“:[21,33,70,80102],”最大化,“:[22],”而不是“:[23],”而非“:[24],”本身。“:[28],”The“:[29],”resulting“:[30],”optimization“:[31],”problem“:[32],”not“:[34],”凸,“:[35],”and“:[36,93],”we“:[3]7,46],”have“:[38],”to“:[39,41,72],”resort“:[40],”sub-optimia“:[43],”approach。“:[44],”具体地说,“:[45],”提议“:[47],”两步“:[49],”解决方案“:[50],”组成“:[51],”单数“:[54],”值“:[55],”分解“:[56],”(SVD)“:[57],”u201c相干\u201d“:[60],”矩阵“:[61,66],”后跟“:[62],”by“:[63,82],”秩一“:[65],”近似。“:[67],”技术“:[69],”应用“:[71],”盲目“:[73],”恢复“:[74],”信号“:[75],”in“:[76,8],”模型“:[7810],”that“:[79103],”动机“:[81],”研究“:[84],”神经元“:[8611],”动力学“:[87],”人类“:[89],”使用“:[90],”脑电图“:[91],”(脑电图)“:[92],”脑磁图“:[94],“(乙二醇)。“:[95],“A”:[96],“区别”:[97],“特征”:[98],“此”:[100],“它”:[104],“允许”:[105],“恢复”:[106],“振幅-振幅”:[108],“耦合”:[109],“过程”。“:[112]},”cited_by_api_url“:”https://api.openalex.org/works?filter=cites:W1970333613“,”counts_by_year“:[{”年“:2014,”cited_by_count“:1}],”更新日期“:”2024-06-20T23:21:04.084116“,”创建日期“:“2016-06-24”}