Novel sparseness-inducing dual Kalman filter and its application to tracking time-varying spatially-sparse structural stiffness changes and inputs

2020 ◽  
Vol 372 ◽  
pp. 113411
Author(s):  
Yong Huang ◽  
Jianqi Yu ◽  
James L. Beck ◽  
Huiping Zhu ◽  
Hui Li
Keyword(s):  
Kalman Filter ◽  
Time Varying ◽  
Structural Stiffness ◽  
Tracking Time

Tracking Time-Varying Powerline Interference in Electrocardiogram Using Robust Extended Kalman Filter

2012 ◽  
Vol 155-156 ◽  
pp. 127-132
Author(s):  
Guo Jun Li ◽  
Shu Ting Zhang ◽  
Nan Xiao ◽  
Xiao Na Zhou
Keyword(s):  
Adverse Effect ◽  
Kalman Filter ◽  
Ecg Signal ◽  
Time Varying ◽  
Qrs Complex ◽  
Robust Kalman Filter ◽  
Simulation Results ◽  
Powerline Interference ◽  
M Estimation ◽  
Tracking Time

Powerline interference (PLI) often exhibits variations in frequency and amplitude, whose frequency lies in the spectrum range of the ECG signal. Most previous attempts of tracking time-varying PLI signal are based on Least Squared (LS) algorithm. This makes their methods susceptible to QRS complex in tracking low-level PLI signal. This study presents a new robust Kalman filter-based PLI suppressor to overcome the limitation of existing methods. M-estimation is incorporated into the kalman filter to combat the adverse effect of QRS impulsive. Simulation results indicate that our method outperforms the former LS-based PLI cancellers in both suppressing interference and preserving meaningful ECG components at various interference levels.

scholarly journals A CONFIDENCE-GUIDED TECHNIQUE FOR TRACKING TIME-VARYING FEATURES

2020 ◽  
pp. 1-1
Author(s):  
Soumya Dutta ◽  
Terece Louise Turton ◽  
James Ahrens
Keyword(s):  
Time Varying ◽  
Tracking Time

scholarly journals Time-varying cointegration and the Kalman filter

2021 ◽  
pp. 1-21
Author(s):  
Burak Alparslan Ero˜glu ◽  
J. Isaac Miller ◽  
Taner Yi˜git
Keyword(s):  
Kalman Filter ◽  
Time Varying
Sign in / Sign up

Export Citation Format

Share Document