Sentence examples for stationary threshold from inspiring English sources

If {x1, x2, …, x n } is not stationary, we should make the differencing adjustment to data series until the difference between successive variances is smaller than the application-defined stationary threshold ϵ.

Table 1 Notations Notation Meaning {x1, x2, …, x n } Data series {x1′, x2′, …, x n ′} Stationary data series I Differencing order diff({x1, x2, …, x n },I) Execute I order of differencing operation to {x1, x2, …, xn} variance Calculate variance ϵ Application defined stationary threshold δ Application defined BIC indicator threshold.

The first procedure assumed a stationary threshold and slope throughout the experiments, whereas the second procedure assumed that time can have a linear effect on the detection probability.

As a first strategy to improve estimations of the psychophysical functions, the assumption of a stationary threshold could be relaxed by allowing time to have a linear effect on the threshold.

Leg rubbing (removal of dust from legs themselves) is initiated under two conditions: (1) the activation level of the pair crosses a stationary threshold (same for both pairs) and (2) the activation level of the pair is above the activation level of any body part (above ma), including the other pair of legs.

Recordings of two human subjects who show a non-stationary threshold were selected from a previous study (Doll et al., 2014).

Several trends in the data, including sweep- versus stationary-carrier threshold patterns and effects of frequency region were predicted from a modulation filterbank model with an envelope-correlation decision statistic.

However, for the non-stationary blocks, the threshold value predicted from SAD values of blocks spatially and temporally neighboring to the current block is inadequate.

However, changes can also be captured by nonlinear stationary models such that Threshold and Markov-switching models.

In the proposed method, we have applied the threshold on stationary wavelet coefficients of value component of HSV to detect moving object with shadow.

In practice, the neurological and psychological processes underlying the psychophysical function are assumed to remain stationary throughout estimations of threshold and slope in psychophysical experiments.