Sentence examples for between output and reference from inspiring English sources

The Delay-Locked-Loop (DLL) which is used as multi-phase clock generator for microprocessors, frequency synthesizers, time-to-digital converter (TDC) etc. reduces the phase error between output and reference clock until it is locked.

The algorithm ensures the small difference between plant output and reference signal under the saturation of control signal.

Iterative learning control is an application for two-dimensional control systems analysis where it is possible to simultaneously address error convergence and transient response specifications but there is a requirement to enforce frequency attenuation of the error between the output and reference over the complete spectrum.

Figure 8 Comparison on spectral analysis results between the calibrated sensor output and reference signals.

As the distances between the images of G T 1 and G T 2 are small as they were manually processed the α value represents the number of times the distance between an output and its reference image can be greater than the maximum distance between two reference images of the sets G T 1 and G T 2 for the same output.

From the figure, it can be seen that (y_{text{c}}) is defined as the difference between noisy output and the reference and the transfer function P s) shows the open-loop transfer function matrix with ten inputs and eight outputs.

Figure 5 and Fig. 6 show that the bigger phase angle jump value, the larger power deviation between power output and power reference value when the phase angle deviation is within 0° to 90°.

Now we particularize the beamweight vector with the TRB, which relies on a priori knowledge of a reference waveform to minimize the mean square error between the beamformer output and a reference signal [13, p. 90].

Feedback controllers require a 'subtractor' that is able to compute the error between the process output and the reference signal.

The proposed algorithm ensures required accuracy of difference between the plant output and the reference signal, which significantly depends on external disturbances.

In the training of this regression DNN, we aim at minimizing mean squared error between the DNN output and the reference clean features based on randomly initialized weights.