Sentence examples for adaptive lag from inspiring English sources

In [23], the adaptive lag synchronization of Cohen-Grossberg neural networks with discrete delays was discussed.

The analysis window length N A used in the AW-XWVD is 10 samples points and the average length of adaptive lag window N w is 80 samples points.

For N time samples, the total number of multiplications to setup the adaptive lag window based on the average lag window width N w is N w N.   4.

For N time samples, the total number of multiplications to setup the adaptive lag window based on the average lag window width N w is N w N. To get the XTFR, the Fourier transform of the windowed cross bilinear product is calculated in the lag direction with (N τ log2 N τ ) multiplications.

For the sake of clarity in terminology, in the paragraph below, N is the signal length, N τ is the lag window length, N A is the length of the analysis window, and N w is the average length of adaptive lag window.

Efforts have also been made to reduce dynamical misregistration, including: 1) in order to reduce synchronization latency, multiple threads are dynamically generated for reading and processing sensor measurement immediately upon the data arrival in the host system; and 2) an adaptive lag compensation algorithm is designed to reduce the latency induced by the Finite Impulse Response (FIR) filter.

By applying the LLAC on the cross bilinear product, the resulting adaptive window resembles the shape of a parallelogram as shown in Figure 3. Table 2 Minimum Value of LLAC for various frequencies Number Signal frequency (Hz) Min |R KK (t, ς)| 1 1/32 0.567 2 1/16 0.251 3 1/8 0.121 4 1/4 0.089 Figure 3 Time-lag representations of PSK signal with adaptive lag-window.

An adaptive projective lag synchronization (PLS) scheme was proposed in drive-response dynamical networks with delayed coupling consisting of identical and different nodes.

In this paper we present the adaptive anti-lag synchronization (ALS) of two identical or non-identical hyperchaotic complex nonlinear systems with uncertain parameters.

These temporally adaptive empirical lags were smoothed with a 3-month moving average, centered on the middle month, and then used to estimate exposure dates.

The adaptation method used to set up the localized lag adaptive window is then discussed.