61 citations · 171 across the 9 of their papers we have counts for
9 papers
Complex-valued Adaptive System Identification via Low-Rank Tensor Decomposition
Oliver Ploder, Christina Auer, Oliver Lang +2
Machine learning (ML) and tensor-based methods have been of significant interest for the scientific community for the last few decades. In a previous work we presented a novel tens…
Diagnostic Quality Assessment for Low-Dimensional ECG Representations
Péter Kovács, Carl Böck, Thomas Tschoellitsch +2
There have been several attempts to quantify the diagnostic distortion caused by algorithms that perform low-dimensional electrocardiogram (ECG) representation. However, there is n…
Machine Learning interpretation of the correlation between infrared emission features of interstellar polycyclic aromatic hydrocarbons
Zhisen Meng, Xiaosi Zhu, Peter Kovacs +2
Supervised machine learning models are trained with various molecular descriptors to predict infrared emission spectra of interstellar polycyclic aromatic hydrocarbons. We demonstr…
ECG Beat Representation and Delineation by means of Variable Projection
Carl Böck, Péter Kovács, Pablo Laguna +2
The electrocardiogram (ECG) follows a characteristic shape, which has led to the development of several mathematical models for extracting clinically important information. Our mai…
Abnormal Road Surface Detection Using Wheel Sensor Data
Tamás Dózsa, János Radó, János Volk +3
Intelligent tires can be used for a wide array of applications ranging from tire pressure monitoring to analyzing tire/road interactions, wheel loading, and tread wear monitoring.…
Nonlinear least-squares spline fitting with variable knots
Péter Kovács, Andrea M. Fekete
In this paper, we present a nonlinear least-squares fitting algorithm using B-splines with free knots. Since its performance strongly depends on the initial estimation of the free…
Generalized Rational Variable Projection With Application in ECG Compression
Péter Kovács, Sándor Fridli, Ferenc Schipp
In this paper we develop an adaptive transform-domain technique based on rational function systems. It is of general importance in several areas of signal theory, including filter…
Can the explain the peak associated with ?
Milena Piotrowska, Francesco Giacosa, Peter Kovacs
We study the well-known resonance , corresponding to a charm-anticharm vector state , within a QFT approach, in which the decay channels into , $D^…
A Linear State Space Model for Photoacoustic Imaging in an Acoustic Attenuating Media
Oliver Lang, Peter Kovacs, Christian Motz +3
In photoacoustic imaging, ultrasound waves generated by a temperature rise after illumination of light absorbing structures are measured on the sample surface. These measurements a…