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researcher

Michel Verhaegen

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • astro-ph.IM1
  • eess.SY1
ORCID 0000-0002-7967-6884
same name
  • Michel Verhaegen — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142025
most citedFast & Furious focal-plane wavefront sensing

36 citations · 37 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2025★ 1 cited

Continuous-Time System Identification and OCV Reconstruction of Li-ion Batteries via Regularized Least Squares

Yang Wang, Riccardo M. G. Ferrari, Michel Verhaegen

Accurate identification of lithium-ion (Li-ion) battery parameters is essential for managing and predicting battery behavior. However, existing discrete-time methods hinder the est…

eess.SP2023

In-sector Compressive Beam Alignment for MmWave and THz Radios

Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers

Beam alignment is key in enabling millimeter wave and terahertz radios to achieve their capacity. Due to the use of large arrays in these systems, the common exhaustive beam scanni…

eess.SP2023

Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings

Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers

Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for sparse signal recovery in compressed sensing (CS). Prior work on OMP, however, has only provided reconstruct…

astro-ph.IM2014★ 36 cited

Fast & Furious focal-plane wavefront sensing

Visa Korkiakoski, Christoph U. Keller, Niek Doelman +3

We present two complementary algorithms suitable for using focal-plane measurements to control a wavefront corrector with an extremely high spatial resolution. The algorithms use l…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.