Robust adaptive parameter estimation of sinusoidal signals
A novel two step adaptive identification framework is proposed for sinusoidal signals to
estimate the unknown offset, amplitude, frequency and phase, where only the output …
estimate the unknown offset, amplitude, frequency and phase, where only the output …
Nonlinear system-identification of the filling phase of a wet-clutch system
The work presented illustrates how the choice of input perturbation signal and experimental
design improves the derived model of a nonlinear system, in particular the dynamics of a wet …
design improves the derived model of a nonlinear system, in particular the dynamics of a wet …
Fully automated high-performance signal-to-noise ratio enhancement based on an iterative three-point zero-order Savitzky–Golay filter
HG Schulze, RB Foist, A Ivanov, RFB Turner - Applied spectroscopy, 2008 - opg.optica.org
The automated processing of data from high-throughput and real-time collection procedures
is becoming a pressing problem. Currently the focus is shifting to automated smoothing …
is becoming a pressing problem. Currently the focus is shifting to automated smoothing …
An Algorithm for Numerical Integration of ODE with Sampled Unknown Functional Factors
Y Villacampa, FJ Navarro-González - Mathematics, 2022 - mdpi.com
The problem of having ordinary differential equations (ODE) whose coefficients are
unknown functions is frequent in several fields. Sometimes, it is possible to obtain samples …
unknown functions is frequent in several fields. Sometimes, it is possible to obtain samples …
Approximate ML estimation of the period and spectral content of multiharmonic signals without user interaction
MLD Lumori, J Schoukens… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
The goal of this paper is to construct an approximate maximum-likelihood estimator to
accurately estimate the period and spectral contents of a noisy periodic signal that has many …
accurately estimate the period and spectral contents of a noisy periodic signal that has many …
Measuring autonomous systems using the Large Signal Network Analyser
Y Rolain, W Van Moer, J Schoukens… - 2006 European …, 2006 - ieeexplore.ieee.org
A fully calibrated measurement of the output waveform of an oscillator is realized. The
measurement is performed automatically without the need for synchronization between the …
measurement is performed automatically without the need for synchronization between the …
New signal enhancement algorithms for one-dimensional and two-dimensional spectroscopic data
RB Foist - 2011 - open.library.ubc.ca
In research, the usefulness of the analytical results is crucially dependent upon the quality of
the measurements. However, data measured by instruments is always corrupted. The …
the measurements. However, data measured by instruments is always corrupted. The …
Tracking the waveform of microwave oscillators
Y Rolain, W Van Moer, J Schoukens… - 2006 67th ARFTG …, 2006 - ieeexplore.ieee.org
A fully calibrated measurement of the output waveform of an oscillator is realized. The
measurement is performed automatically without the need for synchronization between the …
measurement is performed automatically without the need for synchronization between the …