Low-order wave front sensor deconvolution signal-to-noise ratio

Details Low-order wave front sensor deconvolution signal-to-noise ratio Low-order wave front sensor deconvolution signal-to-noise ratio

Nov 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993spie.2029..346d&link_type=abstract

Proc. SPIE Vol. 2029, p. 346-353, Digital Image Recovery and Synthesis II, Paul S. Idell; Ed.

Computer Science

Scientific paper

Wave-Front Sensor Deconvolution is a computer post processing technique that uses wave- front sensor information to correct for the effect of atmospheric turbulence. An approximate analytic expression for the signal to noise ratio (SNR) of the technique has been derived for the full order case of one or more Hartmann sub-apertures per r0. This expression is not valid for cases of fewer than one sub-aperture per r0. In these cases wave-front simulation can be used to numerically evaluate an SNR.

Affiliated with

Also associated with

No associations

Rating

Low-order wave front sensor deconvolution signal-to-noise ratio does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Low-order wave front sensor deconvolution signal-to-noise ratio, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Low-order wave front sensor deconvolution signal-to-noise ratio will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-816087