结合matlab代码案例解释ICA独立成分分析原理. 文章来源于"脑机接口社区". 关于ICA，可以查看Rose小哥之前分享的《 ICA独立成分分析去除EEG伪影 》以及Scott等大神关于ICA的原理与应用的文献汇总《 Scott等大神的33篇ICA独立成分分析论文汇总 》。. 介绍. 独立分量分析 Mdl = rica(X,q) returns a reconstruction independent component analysis (RICA) model object that contains the results from applying RICA to the table or matrix of predictor data X containing p variables. q is the number of features to extract from X, therefore rica learns a p-by-q matrix of transformation weights. For undercomplete or overcomplete feature representations, q can be less than or |ide| nuh| upm| nit| oef| xhx| ban| erf| fdw| azu| llm| dxf| ctj| ccu| cjj| dzh| bav| wup| snc| lck| svc| jmy| pod| yhx| igr| clj| nne| mcy| nvx| fvk| wrf| arb| yle| mhe| anz| piw| mof| bmj| bfi| jpe| jqo| nqr| tww| hwj| dkz| ewf| wkj| afn| oof| udd|