Suppose that at time n we have received M samples of signal x(n) and we have stacked the samples into a vector x(n).
The samples of signal ν(t) can be at hand, for example, by using an out-of-band measurement of the noise.
It must be noted that X(i) is composed of m samples of signal x i. Next, a threshold value is set by r.
To ensure the p values were computed based on large enough samples of signal scores, and to get a single answer representing all outcomes, the significant tests were based on overall reference sets used in each experiment.
Sampling of signals with finite rate of innovation (row 7) is related to piecewise smooth (polynomial based) signals.
Since acoustic maps introduce a spatial discretization, beside the temporal sampling of signals, some artifacts or aliasing may be introduced if the density of is not high enough.
Our technique synchronizes video and EEG signals by hiding samples of these signals at their corresponding frame in time.
The sample of signal X i (t) is X i (k) at time instant kT.
