Showing results (1-10 of 42) with videos related to
Sort By:
Pageof 5
Applied Optics|October 12, 2010
Biased estimators and object-spectrum estimation in the method of deconvolution from wave-front sensingM C Roggemann, B M Welsh, J DeveyApplied Optics|November 2, 2010
Signal-to-noise comparison of deconvolution from wave-front sensing with traditional linear and speckle image reconstructionB M Welsh, M C RoggemannApplied Optics|October 12, 2010
Signal-to-noise ratio for astronomical imaging by deconvolution from wave-front sensingM C Roggemann, B M WelshApplied Optics|February 28, 2008
Incorporating higher-order modal measurements in tilt estimation: natural and laser guide star applicationsM R Whiteley, B M Welsh, M C RoggemannApplied Optics|November 6, 2010
Method for simulating atmospheric turbulence phase effects for multiple time slices and anisoplanatic conditionsM C Roggemann, B M Welsh, D Montera, et al.Applied Optics|December 4, 2010
Use of artificial neural networks for Hartmann-sensor lenslet centroid estimationD A Montera, B M Welsh, M C Roggemann, et al.Applied Optics|January 20, 1997
Prediction of wave-front sensor slope measurements with artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.Applied Optics|February 13, 2008
Optimization of adaptive-optics systems closed-loop bandwidth settings to maximize imaging-system performanceR T Brigantic, M C Roggemann, B M Welsh, et al.Applied Optics|November 25, 2010
Processing wave-front-sensor slope measurements using artificial neural networksD A Montera, B M Welsh, M C Roggemann, et al.Optics Letters|July 1, 1997
Diagnosing unknown aberrations in an adaptive optics system by use of phase diversityD J Lee, B M Welsh, M C Roggemann, et al.Pageof 5