CTER—Rapid estimation of CTF parameters with error assessment

ACE: automated CTF estimation.

We present a completely automated algorithm for estimating the parameters of the contrast transfer function (CTF) of a transmission electron microscope. The primary contribution of this paper is the determination of the astigmatism prior to the estimation of the CTF parameters. The CTF parameter estimation is then reduced to a 1D problem using elliptical averaging. We have also implemented an a...

On the Estimation of Error-Correcting Parameters

Error-Correcting (EC) techniques allow for coping with divergences in pattern strings with regard to their “standard” form as represented by the languageL accepted by a regular or context-free grammar. There are two main types of EC parsers: minimum-distance and stochastic. The latter apply the maximum likelihood rule: classification into the classes of the strings in L that have the greatest p...

Error Stabilization In Successive Estimation Of Registration Parameters

Error Stabilization in Successive Estimation of Registration Parameters

The problem of aligning images arises in many applications, such as mosaicking, video stabilization, medical imaging, aerial photography, etc. If the images form a long sequence, then the conventional approach of sequential registration leads to unstable error growth. To avoid this, additional measurements of registration parameters between images in some local neighborhood can be used to limit...

Estimation of Residual Error Parameters for Vector Network Analyzers

− Recently, a novel approach for the estimation of the residual error parameters of a calibrated vector network analyzer has been proposed. The method is based on a reflection measurement employing a high precision airline terminated by a short. From this measurement the complex valued residual error parameters are calculated utilizing a sophisticated data analysis scheme. In this work the unce...