Abstract
We show that an analysis of the mean and variance of discrete wavelet coefficients of coaveraged time-domain interferograms can be used as a specification for determining when to stop coaveraging. We also show that, if a prediction model built in the wavelet domain is used to determine the composition of unknown samples, a stopping criterion for the coaveraging process can be developed with respect to the uncertainty tolerated in the prediction.
© 2002 Optical Society of America
Full Article | PDF ArticleMore Like This
Desmond C. Adler, Tony H. Ko, and James G. Fujimoto
Opt. Lett. 29(24) 2878-2880 (2004)
Roberto Buffa
Opt. Lett. 27(12) 1058-1060 (2002)
Nurgün Erdöl and Filiz Basbug
Appl. Opt. 33(23) 5303-5307 (1994)