20 citations · 27 across the 6 of their papers we have counts for
8 papers
Approximation by short exponential sums with geometric error decay based on Gauss quadrature
Gerlind Plonka, Yannick Riebe, Annie Cuyt
We present new short exponential sum approximations of length for with on and for with on ${\ma…
Energy Optimal Point-to-Point Motion Profile Optimization
Nick Van Oosterwyck, Foeke Vanbecelaere, Ferre Knaepkens +4
Position-controlled systems driving repetitive tasks are of significant importance in industrial machinery. The electric actuators used in these systems are responsible for a large…
CAD Based Design Optimization of Four-bar Mechanisms: a coronaventilator case study
Abdelmajid Ben Yahya, Nick Van Oosterwyck, Ferre Knaepkens +6
Design optimization of mechanisms is a promising research area as it results in more energy-efficient machines without compromising performance. However, machine builders do not ac…
Multiscale matrix pencils for separable reconstruction problems
Annie Cuyt, Wen-shin Lee
The nonlinear inverse problem of exponential data fitting is separable since the fitting function is a linear combination of parameterized exponential functions, thus allowing to s…
How to get high resolution results from sparse and coarsely sampled data
Annie Cuyt, Wen-shin Lee
Sampling a signal below the Shannon-Nyquist rate causes aliasing, meaning different frequencies to become indistinguishable. It is also well-known that recovering spectral informat…
VEXPA: Validated EXPonential Analysis through regular sub-sampling
Matteo Briani, Annie Cuyt, Ferre Knaepkens +1
We present a procedure that adds a number of desirable features to standard exponential analysis algorithms, among which output reliability, a divide-and-conquer approach, the auto…
A hybrid Fourier-Prony method
Matteo Briani, Annie Cuyt, Wen-shin Lee
The FFT algorithm that implements the discrete Fourier transform is considered one of the top ten algorithms of the th century. Its main strengths are the low computational cos…
Multivariate Exponential Analysis from the Minimal Number of Samples
Annie Cuyt, Wen-shin Lee
The problem of multivariate exponential analysis or sparse interpolation has received a lot of attention, especially with respect to the number of samples required to solve it unam…