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In the case of phase information being missing, the proposed ADOA estimation method can estimate the angle difference successfully.
The results indicate that the read depth method can estimate approximate mPing copy numbers with a wide range of sequencing depth (Supplementary Figure 7).
Simulation results also show that the presented method can estimate the deformation online successfully.
It is also determined that the two phase numerical method can estimate experimental results correctly.
The results show that this method can estimate model parameters from very short record lengths.
The proposed method can estimate the steady state responses for any applied load and forcing frequency.
This method can estimate the peak location accurately and provides a faster performance in software-based signal acquisition.
The neural method can estimate the harmonic terms individually and online, therefore, the APF can realise a selective compensation.
The simulation results show that the proposed method can estimate the source wavelet effectively when the SNR is higher than 0 dB.
The results indicate that the proposed PSFFA method can estimate the queue length accurately and the model can decrease the truck turn time efficiently.
The proposed two-stage SSID method can estimate unmeasured disturbances without the assumptions that the conventional Kalman filtering technique must make.
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