[HTML][HTML] Multicomponent signals interference detection exploiting HP-splines frequency parameter
Multicomponent signals play a key role in many application fields, such as biology, audio
processing, seismology, air traffic control and security. They are well represented in the time …
processing, seismology, air traffic control and security. They are well represented in the time …
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines
R Campagna, E Perracchione - Journal of Scientific Computing, 2021 - Springer
The data driven extrapolation requires the definition of a functional model depending on the
available data and has the application scope of providing reliable predictions on the …
available data and has the application scope of providing reliable predictions on the …
Feature augmentation for numerical inversion of multi-exponential decay curves
R Campagna, E Perracchione - AIP Conference Proceedings, 2022 - pubs.aip.org
Multi-exponential decay curves describe the nuclear magnetic resonance response to
radiofrequency exposure. This problem is strongly related to finding a non-negative function …
radiofrequency exposure. This problem is strongly related to finding a non-negative function …
Stable interpolation with exponential-polynomial splines and node selection via greedy algorithms
In this work we extend some ideas about greedy algorithms, which are well-established
tools for, eg, kernel bases, and exponential-polynomial splines whose main drawback …
tools for, eg, kernel bases, and exponential-polynomial splines whose main drawback …
Data-driven extrapolation via feature augmentation for multi-exponential decay curves
R Campagna, E Perracchione - PROCEEDINGS OF SIMAI 2020+ 21, 2021 - air.unimi.it
Data driven extrapolation requires the definition of a functional model depending on the
available data and has the application scope of providing reliable predictions on the …
available data and has the application scope of providing reliable predictions on the …