Data set (B) differs from data set (A) only by having some processes
which are subject specific, i.e. they have zero amplitude modulation in
some of the subjects' data. Figure 3 shows the results
for the 'common' source process (top) and one of the secondary source process (bottom)
which only exists in subject 2. The model order was estimated to be . Both techniques still estimate the
source processes, with the PARAFAC estimate of the common source
process showing some cross-talk with spatial map 2. The PARAFAC
estimation in this case involved a 23-fold increase in number of
floating point operations.
Figure 3:
Tensor-PICA and PARAFAC decomposition results
for data set (B) with : the first process is contained in all three
subjects while the second process only appears in subject 2.