Amandine Verguet

ORCID: 0000-0003-0606-3910
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About
Contact & Profiles
Research Areas
  • Advanced Electron Microscopy Techniques and Applications
  • Digital Filter Design and Implementation
  • Numerical Methods and Algorithms
  • Advanced X-ray Imaging Techniques
  • Optical Network Technologies
  • Electron and X-Ray Spectroscopy Techniques
  • Cell Image Analysis Techniques
  • Parallel Computing and Optimization Techniques
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Digital Holography and Microscopy
  • Robotics and Sensor-Based Localization

Université Paris-Saclay
2019-2021

Université Paris-Sud
2019-2021

AVL (France)
2019

Inserm
2016-2019

Centre National de la Recherche Scientifique
2016-2019

Laboratoire Analyse et Modélisation pour la Biologie et l'Environnement
2019

Institut Curie
2016-2019

Université Paris Sciences et Lettres
2019

Tools for taking advantage of phase-contrast in transmission electron microscopy are great interest both biological and material sciences studies as shown by the recent use phase plates development holography. Nevertheless, these tools most often require highly qualified experts access to advanced equipment that can only be considered after preliminary investigations. Here we propose address this issue an ImageJ plugin allow retrieval a image simple numerical treatment applied two defocused...

10.1016/j.micron.2019.01.006 article EN cc-by Micron 2019-03-28

The Split-Radix Fast Fourier Transform has the same low arithmetic complexity as related Conjugate Pair Transform. Both transforms have an irregular datapath structure which is straightforwardly expressed only in recursive forms. Furthermore, conjugate pair variant a complicated input indexing pattern requires existing iterative implementations to rely on precomputed tables. It however allows optimization of memory bandwidth it single twiddle factor load per radix-4 butterfly. In algorithms,...

10.1109/tsp.2021.3060279 article EN IEEE Transactions on Signal Processing 2021-01-01

The Split-Radix Fast Fourier Transform has the same low arithmetic complexity as related Conjugate Pair Transform. Both transforms have an irregular datapath structure which is straightforwardly expressed only in recursive forms. Furthermore, conjugate pair variant a complicated input indexing pattern requires existing iterative implementations to rely on precomputed tables. It however allows optimization of memory bandwidth it single twiddle factor load per radix-4 butterfly. In algorithms,...

10.36227/techrxiv.13489392 preprint EN cc-by-nc-sa 2020-12-29

The Split-Radix Fast Fourier Transform has the same low arithmetic complexity as related Conjugate Pair Transform. Both transforms have an irregular datapath structure which is straightforwardly expressed only in recursive forms. Furthermore, conjugate pair variant a complicated input indexing pattern requires existing iterative implementations to rely on precomputed tables. It however allows optimization of memory bandwidth it single twiddle factor load per radix-4 butterfly. In algorithms,...

10.36227/techrxiv.13489392.v1 preprint EN cc-by-nc-sa 2020-12-29
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