Hello Jussi,

thanks for your quick review.

(1) I am not sure, but I had suggested that computing the Amplitude from a raw discrete signal [ (Magnitude/)Amplitude = (|x| / 2) ? ] should in some way be similar to calculating the overall amplitude of the whole frequency spectrum with the FFT [ Amplitude = sqrt[real-part(FFT(x))² + imaginary-part(FFT(x))²] ]

So my assumption was that

Signal -> Temporal Filter -> Power Calculation -> Average over time

=!

Signal -> FFT Amplitude -> Power Calculation -> Spectral Average -> Average over time

And for being the Phase information that is additionally retrievable with FFT:

**Quote:**

Under *Computations Using the FFT* (p.4)

The power spectrum shows power as the mean squared amplitude at each frequency line but includes no phase

information. Because the power spectrum loses phase information, you may want to use the FFT to view both the

frequency and the phase information of a signal.

Cerna & Harvel (2000). The Fundamentals of FFT-Based Signal Analysis and Measurement. National Instruments.

http://www.iaa.ncku.edu.tw/~jjmiau/down ... alysis.pdfI mean, I want to make sure that my FFT Settings are correct and comparable to other Software results, and I noticed, that calculating the

amplitude from FFT seems to be very sensitive to certain Settings (Epoching, low-cut Filter (0-2 Hz), etc.). Overall I want to make sure

that my processing is reliable.

(to be honest, I didn't calculate FFT with another program yet for this dataset for comparison, so my question might have been obsolete by now)

(2) Yes I expected that the univariate statistics box is calculating 'horizontally' over all the samples coming each point from the buffer. Like the Signal Average box!? Fair enough, I don't know exactly for what application it is best used for - probably for analysing time-locked parallel ERPs?!

(3) tgaugry said that the end-of-file query will be a feature of the csv-writer box in openvibe 2.0, this sounds like a reasonable plan that might facilitate result and report creation, I guess

I did not find something, what I would refer to as bug yet, except of the Average Box that seemed to produce a rounding error for very long (1h) datasets, as the Univariate Statistics Box underlying Mean calculation did not show this increasing deviation, but I want to try this again to make sure it was not my mistake.

Lee