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In[8], the probability of track loss and a function of estimation error covariance was minimized by selecting both waveform parameters and detection thresholds for range and range rate tracking in clutter.
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The effects of smoothing non-smooth function on estimation of dynamical stability of the periodic response determined in the frequency domain are considered in this paper.
Furthermore, by using the permutation steps for data randomization, the probability density function of parameter estimation shows the parameter estimations of regulatory genes by our threshold of correlation has a P value less than 0.001.
Figure 7 shows a logarithmic scaled negative cumulative density function (cdf) of estimation error.
Although the Kalman filter technique is applied to conventional software sensors for quality estimation as a model updating function, deterioration of estimation accuracy is often seen with marked changes in plant behavior and the analyzers shut down.
The proposed scheme uses PBMA to replace the function of motion estimation, and PBMA can thus demonstrate performance that approaches motion estimation at the encoder.
Traditional motion estimation at the encoder is discussed in Subsection 3.1, and the proposed primary function of motion estimation at the decoder, PBMA, is introduced in Subsection 3.2.
One could, however, consider using the peak value of the impulse response function for estimation of renal blood flow.
Figure 7 Negative cumulative density function of complexity estimation error.
Figure7 shows the minimum energy consumption of each algorithm as a function of the estimation MSE.
Equal error rate as a function of initial estimation segment length and game time.
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