I'm using the BCI Competition IV 2a dataset. I want to use the common spatial pattern of the BioSig toolbox.
I'm working on 3 channels. I adjusted my dataset into 2 classes (One-vs-Rest scheme) & reshaped my data from 3 dimension matrix into 2 dimension matrix:
· Class1 (left motor imagery) = 54000x3 channels. (one channel per column)
· Class2 (right, foot, tongue) = 162000x3 channels
I tried to calculate the extended covariance matrix which is needed as input for the csp.m
>>ECM = covm(C1, C2, 'E');
but I get the following error:
Error using covm (line 93) X and Y must have the same number of observations (rows).
How to calculate the covariance matrix of unequal matrices?
any help please
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