Leung et al. (2004) reported an inverted U-shaped response function for delay-related activity in parietal and also prefrontal regions when WM load was increased from 1 to 4 in a spatial delayed-response task.
A regressor waveform for each condition, convolved with a 6 second delay Poisson function accounting for delay and dispersion in the hemodynamic response function, was used to compute voxel-wise t statistics, which were then normalized to z scores to provide a statistical measure of activation that is independent of sample size.
Statistical Static Timing Analysis (SSTA) is based on generating a probability function for the delay associated with each signal for each segment of a track, then evaluating the total delay probability functions of signals as they propagate through entire paths.
In this section, we describe the theory of operation behind the matlab function for group-delay computation given in §J.8.
Similarly, the function η ≥ 0 represents the probability density function for feedback delays.
Obviously, the objective error function for a delay-oriented approximation can be represented by (22).
Figure 8 b, c shows the ambiguity function versus delay for Doppler shifts −50 and 100 Hz, and Fig. 8 d, e shows the ambiguity function versus Doppler for delays 0.3 and 0.5 ms, respectively.
Figure 9 b shows the ambiguity function versus delay for Doppler 50 Hz and Fig. 9 c shows the ambiguity function versus Doppler for delay 0.6 ms. In these figures, the location of the weak target is observed obviously.
But finding Lyapunov functions for nonautonomous delay difference systems is usually a difficult task.
For SimE, fuzzy goodness functions are designed for delay and power, and proved efficient.
Figure 7 illustrates the distribution of probabilistic scores produced by the KNN-DTW classifier as a function of the delay for the two classes of trends, organic and promoted.
