open-discussion
open-discussion > RE: Filtering data
Aug 18, 2015 01:08 AM | Alfonso Nieto-Castanon - Boston University
RE: Filtering data
Hi Jean-Baptiste,
That is a good point, which method would you recommend? If I recall correctly all SPM, C-PAC, and AFNI implement a similar form of FFT-based rectangular filter while FSL uses a somewhat different approach (gaussian convolution for low-pass and spline-removal for high-pass). I imagine that using a filter with bounded support in the temporal domain might help reduce those artifacts and it might be a more reasonable way to deal with shorter timeseries (e.g. avoiding the case where none of the sampled frequencies lies within the band-pass window)?
Let me know your thoughts
Cheers
Alfonso
Originally posted by Jean-Baptiste Poline:
That is a good point, which method would you recommend? If I recall correctly all SPM, C-PAC, and AFNI implement a similar form of FFT-based rectangular filter while FSL uses a somewhat different approach (gaussian convolution for low-pass and spline-removal for high-pass). I imagine that using a filter with bounded support in the temporal domain might help reduce those artifacts and it might be a more reasonable way to deal with shorter timeseries (e.g. avoiding the case where none of the sampled frequencies lies within the band-pass window)?
Let me know your thoughts
Cheers
Alfonso
Originally posted by Jean-Baptiste Poline:
Hi,
I have seen some artifacts in short time series with this kind of filter - a well known phenomena in signal processing
http://dsp.stackexchange.com/questions/6...
cheers
JB
I have seen some artifacts in short time series with this kind of filter - a well known phenomena in signal processing
http://dsp.stackexchange.com/questions/6...
cheers
JB
Threaded View
| Title | Author | Date |
|---|---|---|
| Giannarita Iannotti | Aug 17, 2015 | |
| Daniel Rogers | Nov 3, 2015 | |
| Alfonso Nieto-Castanon | Aug 17, 2015 | |
| Jean-Baptiste Poline | Aug 17, 2015 | |
| Alfonso Nieto-Castanon | Aug 18, 2015 | |