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Michel Verhaegen

Showing results (1-10 of 42) with videos related to

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Optics Letters|November 15, 2016
Framework to trade optimality for local processing in large-scale wavefront reconstruction problemsAleksandar Haber, Michel Verhaegen
Optics Express|March 4, 2020
Modeling and state-space identification of deformable mirrorsAleksandar Haber, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 3, 2019
Convex optimization-based blind deconvolution for images taken with coherent illuminationReinier Doelman, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 6, 2018
Tensor-based predictive control for extremely large-scale single conjugate adaptive opticsBaptiste Sinquin, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 15, 2015
Modal-based phase retrieval for adaptive opticsJacopo Antonello, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 12, 2007
Exploiting the spatiotemporal correlation in adaptive optics using data-driven H2-optimal controlKarel Hinnen, Michel Verhaegen, Niek Doelman
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 5, 2013
Wavefront reconstruction in adaptive optics systems using nonlinear multivariate splinesCornelis C de Visser, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 25, 2019
Predictive wavefront sensorless adaptive optics for time-varying aberrationsPieter Piscaer, Oleg Soloviev, Michel Verhaegen
Optics Express|September 26, 2015
Model-based wavefront sensorless adaptive optics system for large aberrations and extended objectsHuizhen Yang, Oleg Soloviev, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 28, 2020
Phase retrieval of large-scale time-varying aberrations using a non-linear Kalman filtering frameworkPieter Piscaer, Oleg Soloviev, Michel Verhaegen
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Optics Letters|November 15, 2016
Framework to trade optimality for local processing in large-scale wavefront reconstruction problemsAleksandar Haber, Michel Verhaegen
Optics Express|March 4, 2020
Modeling and state-space identification of deformable mirrorsAleksandar Haber, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 3, 2019
Convex optimization-based blind deconvolution for images taken with coherent illuminationReinier Doelman, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 6, 2018
Tensor-based predictive control for extremely large-scale single conjugate adaptive opticsBaptiste Sinquin, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 15, 2015
Modal-based phase retrieval for adaptive opticsJacopo Antonello, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|May 12, 2007
Exploiting the spatiotemporal correlation in adaptive optics using data-driven H2-optimal controlKarel Hinnen, Michel Verhaegen, Niek Doelman
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 5, 2013
Wavefront reconstruction in adaptive optics systems using nonlinear multivariate splinesCornelis C de Visser, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 25, 2019
Predictive wavefront sensorless adaptive optics for time-varying aberrationsPieter Piscaer, Oleg Soloviev, Michel Verhaegen
Optics Express|September 26, 2015
Model-based wavefront sensorless adaptive optics system for large aberrations and extended objectsHuizhen Yang, Oleg Soloviev, Michel Verhaegen
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|December 28, 2020
Phase retrieval of large-scale time-varying aberrations using a non-linear Kalman filtering frameworkPieter Piscaer, Oleg Soloviev, Michel Verhaegen
Pageof 5