Journal ArticleDOI
Robust deconvolution by modified Wiener filtering
TLDR
In this paper, a modified Wiener filter is proposed to suppress additive noise by using statistical information obtained during wavelet estimation, and a value of p can be chosen which gives a modified WF equivalent to a statistically robust deconvolution filter.Abstract:
Deconvolution in the presence of additive noise is a well known problem for which there exists a Wiener filter which spectrally whitens while also suppressing the noise. A simple variant of this standard Wiener filter incorporates a parameter p which is intended to allow further weight to be given to noise suppression. This filter is often called a modified Wiener filter. To design such a filter, one must know the frequency characteristics of the wavelet precisely, plus the spectra of the input and additive noise. Typically, some appropriate estimate of the frequency function of the wavelet is taken, and the modified Wiener filter is designed from that estimate. A more realistic practical viewpoint is to think of the estimated wavelet response as one of a set of possible frequency response functions. By using statistical information obtained during wavelet estimation, a value of p can be chosen which gives a modified Wiener filter equivalent to a statistically robust deconvolution filter. Here “robust” me...read more
Citations
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Journal ArticleDOI
X-ray ptychographic and fluorescence microscopy of frozen-hydrated cells using continuous scanning
Junjing Deng,Junjing Deng,David Vine,David Vine,Si Chen,Qiaoling Jin,Youssef S. G. Nashed,Tom Peterka,Stefan Vogt,Chris Jacobsen,Chris Jacobsen +10 more
TL;DR: This work describes here the first use of fast, continuous x-ray scanning of frozen hydrated cells for simultaneous sub-20 nm resolution ptychographic transmission imaging with high contrast, and sub-100nm resolution deconvolved x-Ray fluorescence imaging of diffusible and bound ions at native concentrations, without the need to add specific labels.
Journal ArticleDOI
A New Algorithm for Wire Fault Location Using Time-Domain Reflectometry
Qinghai Shi,Olfa Kanoun +1 more
TL;DR: In this article, a novel method for the TDR-based wire fault detection is presented by transfer function analysis in the time domain, where an inverse problem is to be solved by an adaptive filter approach.
Journal ArticleDOI
Dynamic Uncertainty for Compensated Second-Order Systems
TL;DR: This work compares an FIR and an IIR approach for compensating a second-order LTI system which has relevance in metrology and suggests that the FIR approach is superior in the sense that it yields significantly smaller uncertainties when real-time evaluation of uncertainties is desired.
Journal ArticleDOI
High-Resolution deconvolution techniques and their applications in ultrasonic NDE
C.H. Chen,Sam-Kit Sin +1 more
TL;DR: Several deconvolution algorithms that have been popularly used in other areas such as seismic explorations are revised and adapted to ultrasonic NDE applications to extract impulse responses from the ultrasonic pulse echoes for use in defect classifications.
Journal ArticleDOI
Semi-sparse deconvolution robust to uncertainties in the impulse responses.
TL;DR: A new semi-sparse deconvolution algorithm that is robust to deviations in the prototype is presented, based on a modification of an earlier presented non-robust semi-Sparse algorithm.
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