Description:
Data in modern applications such as BCI based on EEG signals often contain multi-modes due to
mechanism of data recording, e.g. signals recorded by multiple-sensors (electrodes), in multiple trials,
epochs, for multiple subjects and with different tasks, conditions. Moreover, during processing and
analysis, dimensionality of the data could be augmented due to expression of the data into sparse
domain (time-frequency representation) by different transforms such as STFT, wavelets. That means
data itself is naturally a tensor, and has multilinear structures. Standard approaches which analyze
such data by considering them as vectors or matrices might be not suitable due to risk of losing the
covariance information among various modes. To discover hidden multilinear structures, features
within the data, the analysis tools should reflect the multi-dimensional structure of the data
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File list (Check if you may need any files):
NFEA
....\.DS_Store
__MACOSX
........\NFEA
........\....\._.DS_Store
NFEA\Code
....\....\Crossvalidation
....\....\...............\kfoldcv.m
....\....\...............\stra_kfoldcv.m
....\....\CSP
....\....\...\CSP.m
__MACOSX\NFEA\Code
........\....\....\CSP
........\....\....\...\._CSP.m
NFEA\Code\CSP\CSPfeature.m
....\....\...\feaCSP.m
__MACOSX\NFEA\Code\CSP\._feaCSP.m
NFEA\Code\Data
....\....\....\load_CV_idxs.m
__MACOSX\NFEA\Code\Data
........\....\....\....\._load_CV_idxs.m
NFEA\Code\Data\load_cwt_eeg.m
__MACOSX\NFEA\Code\Data\._load_cwt_eeg.m
NFEA\Code\Data\load_data.m
__MACOSX\NFEA\Code\Data\._load_data.m
NFEA\Code\Data\load_filteredeeg.m
__MACOSX\NFEA\Code\Data\._load_filteredeeg.m
NFEA\Code\Data\scanparam.m
....\....\Feature
....\....\.......\enc_algfeat.m
__MACOSX\NFEA\Code\Feature
........\....\....\.......\._enc_algfeat.m
NFEA\Code\Feature\rankingFisher.m
....\....\.......\selectfeature.m
....\....\Others
....\....\......\parallel_on.m
....\....\Signals
....\....\.......\eeg_filt.m
....\....\.......\fastwavelet.m
....\....\TDA
....\....\...\itenmat.m
__MACOSX\NFEA\Code\TDA
........\....\....\...\._itenmat.m
NFEA\Code\TDA\nway_decompose.m
__MACOSX\NFEA\Code\TDA\._nway_decompose.m
NFEA\Code\TDA\nway_feature.m
__MACOSX\NFEA\Code\TDA\._nway_feature.m
NFEA\Code\TDA\v2007b
....\....\...\......\.DS_Store
__MACOSX\NFEA\Code\TDA\v2007b
........\....\....\...\......\._.DS_Store
NFEA\Code\TDA\v2007b\HODA.p
....\....\...\......\LTDA.p
....\....\...\......\TLDA.p
....\....\...\v2009
....\....\...\.....\.DS_Store
__MACOSX\NFEA\Code\TDA\v2009
........\....\....\...\.....\._.DS_Store
NFEA\Code\TDA\v2009\HODA.p
__MACOSX\NFEA\Code\TDA\v2009\._HODA.p
NFEA\Code\TDA\v2009\LTDA.p
__MACOSX\NFEA\Code\TDA\v2009\._LTDA.p
NFEA\Code\TDA\v2009\TLDA.p
__MACOSX\NFEA\Code\TDA\v2009\._TLDA.p
NFEA\copyright.txt
__MACOSX\NFEA\._copyright.txt
NFEA\Data
....\....\ABSP
....\....\....\.DS_Store
__MACOSX\NFEA\Data
........\....\....\ABSP
........\....\....\....\._.DS_Store
NFEA\Data\BCI3
....\....\....\.DS_Store
__MACOSX\NFEA\Data\BCI3
........\....\....\....\._.DS_Store
NFEA\Data\JTSH
....\....\....\.DS_Store
__MACOSX\NFEA\Data\JTSH
........\....\....\....\._.DS_Store
NFEA\Demo
....\....\ABSP
....\....\....\.DS_Store
__MACOSX\NFEA\Demo
........\....\....\ABSP
........\....\....\....\._.DS_Store
NFEA\Demo\ABSP\demo_subjA_CSP.m
....\....\....\demo_subjA_nway.m
__MACOSX\NFEA\Demo\ABSP\._demo_subjA_nway.m
NFEA\Demo\ABSP\demo_subjB_CSP.m
....\....\....\demo_subjB_CSPandNway.m
__MACOSX\NFEA\Demo\ABSP\._demo_subjB_CSPandNway.m
NFEA\Demo\ABSP\demo_subjB_nway.m
__MACOSX\NFEA\Demo\ABSP\._demo_subjB_nway.m
NFEA\Demo\BCI3
....\....\....\bci3_extracttrial.m
....\....\....\bci3_gendata.m
__MACOSX\NFEA\Demo\BCI3
........\....\....\....\._bci3_gendata.m
NFEA\Demo\BCI3\demo_al_1_11_6D.m
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