activity
20082022
most citedFast Numerical Nonlinear Fourier Transforms

117 citations · 236 across the 9 of their papers we have counts for

collaborators

10 papers

eess.SP2022

Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation

Hamed Masoumi, Nitin Jonathan Myers, Geert Leus +2

Fast millimeter wave (mmWave) channel estimation techniques based on compressed sensing (CS) suffer from low signal-to-noise ratio (SNR) in the channel measurements, due to the use…

eess.SP2021★ 1 cited

Efficient Training of Volterra Series-Based Pre-distortion Filter Using Neural Networks

Vinod Bajaj, Mathieu Chagnon, Sander Wahls +1

We present a simple, efficient "direct learning" approach to train Volterra series-based digital pre-distortion filters using neural networks. We show its superior performance over…

eess.SP2018★ 43 cited

Fast Nonlinear Fourier Transform Algorithms Using Higher Order Exponential Integrators

Shrinivas Chimmalgi, Peter J. Prins, Sander Wahls

The nonlinear Fourier transform (NFT) has recently gained significant attention in fiber optic communications and other engineering fields. Although several numerical algorithms fo…

physics.app-ph2018★ 12 cited

Automatic Delay Tuning of a Novel Ring Resonator-based Photonic Beamformer for a Transmit Phased Array Antenna

L. Bliek, S. Wahls, I. Visscher +5

We present a novel photonic beamformer for a fully integrated transmit phased array antenna, together with an automatic procedure for tuning the delays in this system. Such an auto…

cs.IT2016★ 20 cited

Fast Inverse Nonlinear Fourier Transforms for Continuous Spectra of Zakharov-Shabat Type

Sander Wahls, Vishal Vaibhav

The nonlinear Schrödinger equation (NSE) is well-known to model an ideal fiber-optic communication channel. Even though the NSE is a nonlinear evolution equation, it can be solved…

cs.LG2016

Online Optimization with Costly and Noisy Measurements using Random Fourier Expansions

Laurens Bliek, Hans R. G. W. Verstraete, Michel Verhaegen +1

This paper analyzes DONE, an online optimization algorithm that iteratively minimizes an unknown function based on costly and noisy measurements. The algorithm maintains a surrogat…