output
20052026
most citedImaging With Nature: Compressive Imaging Using a Multiply Scattering Medium

246 citations

Showing 2023Show all

8 papers · 1 filter

math.NA2023★ 13 cited

NumCalc: An open source BEM code for solving acoustic scattering problems

Wolfgang Kreuzer, Katharina Pollack, Fabian Brinkmann +1

The calculation of the acoustic field in or around objects is an important task in acoustic engineering. To numerically solve this task, the boundary element method (BEM) is a comm…

cs.LG2023★ 3 cited

Instabilities in Convnets for Raw Audio

Daniel Haider, Vincent Lostanlen, Martin Ehler +1

What makes waveform-based deep learning so hard? Despite numerous attempts at training convolutional neural networks (convnets) for filterbank design, they often fail to outperform…

math.FA2023★ 5 cited

Measure-operator convolutions and applications to mixed-state Gabor multipliers

Hans G. Feichtinger, Simon Halvdansson, Franz Luef

For the Weyl-Heisenberg group, convolutions between functions and operators were defined by Werner as a part of a framework called quantum harmonic analysis. We show how recent res…

cs.SD2023★ 6 cited

Fitting Auditory Filterbanks with Multiresolution Neural Networks

Vincent Lostanlen, Daniel Haider, Han Han +3

Waveform-based deep learning faces a dilemma between nonparametric and parametric approaches. On one hand, convolutional neural networks (convnets) may approximate any linear time-…

math.FA2023★ 2 cited

Random periodic sampling patterns for shift-invariant spaces

Jorge Antezana, Diana Carbajal, José Luis Romero

We consider multi-variate signals spanned by the integer shifts of a set of generating functions with distinct frequency profiles and the problem of reconstructing them from sample…

math.FA2023★ 1 cited

On the relation of the frame-related operators of fusion frame systems

Lukas Köhldorfer, Peter Balazs

Frames have been investigated frequently over the last few decades due to their valuable properties, which are desirable for various applications as well as interesting for theory.…