Table 1.

Steps of data analysis

Step
1   Average over trials, half for prototypes, other half for test samples
2  Mirror and smooth with a Gaussian function
3  Fast Fourier transform prototypes and test samples
4   Filter the results with a fourth-order Butterworth bandpass filter having parameters (L, H)
5  Inverse fast Fourier transform
6   Classify by least-squares criterion, for observations in a given temporal interval (s, e)
7   Repeat steps 4–6 with new parameters (L′, H′, s′, e′) from a set of values selected on past experience until the set is exhausted
8   Select best recognition performance and corresponding parameters