scholarly journals Robust Wiener filter‐based time gating method for detection of shallowly buried objects

2021 ◽  
Author(s):  
Ali Gharamohammadi ◽  
Fereidoon Behnia ◽  
Arash Shokouhmand ◽  
George Shaker
Keyword(s):  
Wiener Filter ◽  
Buried Objects ◽  
Gating Method ◽  
Time Gating

Distributed fiber vibration sensing with single-shot measurement and moving time-gating method

2020 ◽  
Vol 474 ◽  
pp. 126053
Author(s):  
Shuai Qu ◽  
Zengguang Qin ◽  
Yanping Xu ◽  
Zhaojun Liu ◽  
Zhenhua Cong ◽  
...  
Keyword(s):  
Single Shot ◽  
Vibration Sensing ◽  
Gating Method ◽  
Time Gating

scholarly journals Raman Spectroscopy of Iranian Region Calcite Using Pulsed Laser: An Approach of Fluorescence Suppression by Time-Gating Method

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
H. Soleimaninejad ◽  
F. Matroodi ◽  
S. H. Tavassoli
Keyword(s):  
Raman Spectroscopy ◽  
Nd:Yag Laser ◽  
Pulsed Laser ◽  
Gate Width ◽  
Effective Reduction ◽  
Series Of Experiments ◽  
532 Nm ◽  
Gating Method ◽  
Time Gating

The effect of time-gating method in Raman spectroscopy for fluorescence suppression of Iranian region calcite is investigated. Experiments are done using an Nd:YAG laser with a pulse durations of 10 ns at wavelength 532 nm. Seven samples from different places are examined. In order to obtain the optimum gate width for fluorescence suppression, a series of experiments is carried out at different gate widths. Raman-to-fluorescence (R/F) and fluorescence-to-laser peak (F/L) ratios are compared at gated and nongated experiments. Applying the optimum gate width leads to an effective reduction of fluorescence background and improvement in both ratios of R/F and F/L. Raman signals of some samples in nongated experiments are completely hidden by fluorescence while emerged in gated experiments.

Density-based discrimination of protein and RNA in the ribosome

1992 ◽  
Vol 50 (1) ◽  
pp. 464-465
Author(s):  
Joachim Frank
Keyword(s):  
Transfer Function ◽  
Spatial Frequency ◽  
Three Dimensional ◽  
Wiener Filter ◽  
Dark Field Image ◽  
Dark Field ◽  
Frequency Range ◽  
Bright Field ◽  
Contrast Transfer Function ◽  
Pass Filter

Cryo-electron microscopy combined with single-particle reconstruction techniques has allowed us to form a three-dimensional image of the Escherichia coli ribosome.In the interior, we observe strong density variations which may be attributed to the difference in scattering density between ribosomal RNA (rRNA) and protein. This identification can only be tentative, and lacks quantitation at this stage, because of the nature of image formation by bright field phase contrast. Apart from limiting the resolution, the contrast transfer function acts as a high-pass filter which produces edge enhancement effects that can explain at least part of the observed variations. As a step toward a more quantitative analysis, it is necessary to correct the transfer function in the low-spatial-frequency range. Unfortunately, it is in that range where Fourier components unrelated to elastic bright-field imaging are found, and a Wiener-filter type restoration would lead to incorrect results. Depending upon the thickness of the ice layer, a varying contribution to the Fourier components in the low-spatial-frequency range originates from an “inelastic dark field” image. The only prospect to obtain quantitatively interpretable images (i.e., which would allow discrimination between rRNA and protein by application of a density threshold set to the average RNA scattering density may therefore lie in the use of energy-filtering microscopes.

Detection and characterisation of buried objects using infrared thermography enhanced by microwave heating

2002 ◽  
Author(s):  
Arnaud Jacotin ◽  
Elodie Bachelier ◽  
Francois Liousse ◽  
Pierre Millan
Keyword(s):  
Microwave Heating ◽  
Infrared Thermography ◽  
Buried Objects

Spectral band Selection Using a Genetic Algorithm Based Wiener Filter Estimation Method for Reconstruction of Munsell Spectral Data

2017 ◽  
Vol 2017 (18) ◽  
pp. 190-193 ◽  
Author(s):  
Keivan Ansari ◽  
Jean-Baptiste Thomas ◽  
Pierre Gouton
Keyword(s):  
Genetic Algorithm ◽  
Spectral Data ◽  
Spectral Band ◽  
Estimation Method ◽  
Wiener Filter ◽  
Band Selection

COMBINING DISPARATE TOPOGRAPHIC MATERIALS USING KOLMOGOROV-WIENER FILTER

2020 ◽  
Vol XIV (2/2020) ◽  
Keyword(s):  
Wiener Filter
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