Reconstruct curves using fscores and SRSF framework

[aa89113]

Hello again,
I am trying to use SRSF framework...
I was able to compute the functional principal components, using the following code:

N_FPC = 10
obj = fs.fdawarp(f_data, time_data)
obj.srsf_align(parallel=True, MaxItr=20)
vpca = fs.fdavpca(obj)
vpca.calc_fpca(no=N_FPC)

However, I am not sure how can i reconstruct the original functions using functional principal scores stored in vpca.coef.

Also, once the data is aligned, is there any added value on doing the FPCA on qn, instead of fn?

Can you please help once more? :)
Marcio