7 citations · 17 across the 8 of their papers we have counts for
3 papers · 2 filters
Convergence Rate of the Causal Jacobi Derivative Estimator
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti
Numerical causal derivative estimators from noisy data are essential for real time applications especially for control applications or fluid simulation so as to address the new par…
Parameters estimation of a noisy sinusoidal signal with time-varying amplitude
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti
In this paper, we give estimators of the frequency, amplitude and phase of a noisy sinusoidal signal with time-varying amplitude by using the algebraic parametric techniques introd…
Error analysis of a class of derivative estimators for noisy signals
Da-Yan Liu, Olivier Gibaru, Wilfrid Perruquetti
Recent algebraic parametric estimation techniques led to point-wise derivative estimates by using only the iterated integral of a noisy observation signal. In this paper, we extend…