Motion artifact removal in ECG signals using multi-resolution thresholding
The electrocardiogram (ECG) is a powerful non-invasive tool which allows for diagnosis of a
wide range of heart conditions. Today, portable ECG recording devices, equipped with a …
wide range of heart conditions. Today, portable ECG recording devices, equipped with a …
Robust statistics for GNSS positioning under harsh conditions: A useful tool?
Navigation problems are generally solved applying least-squares (LS) adjustments.
Techniques based on LS can be shown to perform optimally when the system noise is …
Techniques based on LS can be shown to perform optimally when the system noise is …
On robust statistics for gnss single point positioning
Navigation problems are generally solved applying least-squares (LS) adjustments.
Techniques based on LS can be shown to perform optimally when the system noise is …
Techniques based on LS can be shown to perform optimally when the system noise is …
An online approach for intracranial pressure forecasting based on signal decomposition and robust statistics
Intracranial pressure (ICP) is an important physiological signal for patients with traumatic
brain injuries. Accurate ICP forecasting enables active and early interventions for more …
brain injuries. Accurate ICP forecasting enables active and early interventions for more …
Robust GNSS carrier phase-based position and attitude estimation
D Medina - 2022 - elib.dlr.de
Navigation information is an essential element for the functioning of robotic platforms and
intelligent transportation systems. Among the existing technologies, Global Navigation …
intelligent transportation systems. Among the existing technologies, Global Navigation …
A procedure to locate the eyelid position in noisy videokeratoscopic images
In this paper, we propose a new procedure to robustly determine the eyelid position in high-
speed videokeratoscopic images. This knowledge is crucial in videokeratoscopy to study the …
speed videokeratoscopic images. This knowledge is crucial in videokeratoscopy to study the …
[PDF][PDF] Photoplethysmography-Based Biomedical Signal Processing
T Schäck - 2019 - tuprints.ulb.tu-darmstadt.de
In dieser Dissertation werden biomedizinische Signalverarbeitungsverfahren auf Basis der
Photoplethysmografie entwickelt und analysiert. Die entwickelten Methoden lösen Probleme …
Photoplethysmografie entwickelt und analysiert. Die entwickelten Methoden lösen Probleme …
[HTML][HTML] Robust estimation and model order selection for signal processing
ME Muma - 2014 - tuprints.ulb.tu-darmstadt.de
In this thesis, advanced robust estimation methodologies for signal processing are
developed and analyzed. The developed methodologies solve problems concerning multi …
developed and analyzed. The developed methodologies solve problems concerning multi …
Robust testing for stationarity in the presence of outliers
Testing the stationarity of stochastic processes is required in a variety of signal processing
applications. When dealing with real-world problems, the presence of outliers and impulsive …
applications. When dealing with real-world problems, the presence of outliers and impulsive …
Robust model order selection for ARMA models based on the bounded innovation propagation τ-estimator
M Muma - 2014 IEEE Workshop on Statistical Signal …, 2014 - ieeexplore.ieee.org
A crucial task when fitting an ARMA model to real-world data is the selection of the
autoregressive and moving-average orders. In real-world applications, the data may contain …
autoregressive and moving-average orders. In real-world applications, the data may contain …