Using Multi-wavelet decomposition and reconstruction technique to describe the Reservoir of Paleogene Slope Break Zone in Bohai offshore

2017 ◽  
Author(s):  
Hongtao Shen* ◽  
Wei Wang ◽  
Dehai Qin ◽  
Naichuan Guo ◽  
Xiang Xie
Keyword(s):  
Wavelet Decomposition ◽  
Reconstruction Technique ◽  
Break Zone

scholarly journals A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction

2018 ◽  
Vol 25 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Fernando L. Guarnieri ◽  
Bruce T. Tsurutani ◽  
Luis E. A. Vieira ◽  
Rajkumar Hajra ◽  
Ezequiel Echer ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Wavelet Decomposition ◽  
Correlation Study ◽  
Reconstruction Technique ◽  
Relativistic Electrons ◽  
Ae Index ◽  
Solar Wind Magnetic Field ◽  
Cross Correlation Analysis ◽  
Main Input

Abstract. The purpose of this study is to present a wavelet interactive filtering and reconstruction technique and apply this to the solar wind magnetic field components detected at the L1 Lagrange point  ∼  0.01 AU upstream of the Earth. These filtered interplanetary magnetic field (IMF) data are fed into a model to calculate a time series which we call AE∗. This model was adjusted assuming that magnetic reconnection associated with southward-directed IMF Bz is the main mechanism transferring energy into the magnetosphere. The calculated AE∗ was compared to the observed AE (auroral electrojet) index using cross-correlation analysis. The results show correlations as high as 0.90. Empirical removal of the high-frequency, short-wavelength Alfvénic component in the IMF by wavelet decomposition is shown to dramatically improve the correlation between AE∗ and the observed AE index. It is envisioned that this AE∗ can be used as the main input for a model to forecast relativistic electrons in the Earth's outer radiation belts, which are delayed by  ∼  1 to 2 days from intense AE events.

Complex Domain Fast Wavelet Decomposition and Reconstruction Technique and Its Application in Reservoir Prediction

2020 ◽  
Author(s):  
C. Xu ◽  
W. Xiong ◽  
C. Tao ◽  
J. Cui ◽  
Z. Wan ◽  
...  
Keyword(s):  
Wavelet Decomposition ◽  
Complex Domain ◽  
Reconstruction Technique ◽  
Reservoir Prediction ◽  
Fast Wavelet

EDGE EXTRACTION OF IMAGES BY RECONSTRUCTION USING WAVELET DECOMPOSITION DETAILS AT DIFFERENT RESOLUTION LEVELS

2000 ◽  
Vol 14 (06) ◽  
pp. 779-793 ◽  
Author(s):  
L. FENG ◽  
C. Y. SUEN ◽  
Y. Y. TANG ◽  
L. H. YANG
Keyword(s):  
Wavelet Transform ◽  
Wavelet Decomposition ◽  
Document Image ◽  
Computational Time ◽  
Reconstruction Technique ◽  
Edge Extraction ◽  
Document Images ◽  
Reconstruction Procedure ◽  
Wavelet Approximation ◽  
Edge Feature

This paper describes a novel method for edge feature detection of document images based on wavelet decomposition and reconstruction. By applying the wavelet decomposition technique, a document image becomes a wavelet representation, i.e. the image is decomposed into a set of wavelet approximation coefficients and wavelet detail coefficients. Discarding wavelet approximation, the edge extraction is implemented by means of the wavelet reconstruction technique. In consideration of the mutual frequency, overlapping will occur between wavelet approximation and wavelet details, a multiresolution-edge extraction with respect to an iterative reconstruction procedure is developed to ameliorate the quality of the reconstructed edges in this case. A novel combination of this multiresolution-edge results in clear final edges of the document images. This multi-resolution reconstruction procedure follows a coarser-to-finer searching strategy. The edge feature extraction is accompanied by an energy distribution estimation from which the levels of wavelet decomposition are adaptively controlled. Compared with the scheme of wavelet transform, our method does not incur any redundant operation. Therefore, the computational time and the memory requirement are less than those in wavelet transform.

scholarly journals A correlation study regarding the AE index and ACE solar wind data for Alfvénic intervals using wavelet decomposition and reconstruction

2017 ◽  
Author(s):  
Fernando L. Guarnieri ◽  
Bruce T. Tsurutani ◽  
Luis E. A. Vieira ◽  
Rajkumar Hajra ◽  
Ezequiel Echer ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Solar Wind ◽  
Wavelet Decomposition ◽  
Correlation Study ◽  
Reconstruction Technique ◽  
Relativistic Electrons ◽  
Ae Index ◽  
Solar Wind Magnetic Field ◽  
Cross Correlation Analysis ◽  
Main Input

Abstract. The purpose of this study is to present a wavelet interactive filtering and reconstruction technique and apply this to the solar wind magnetic field components detected at the L1 Lagrange point ~ 0.01 AU upstream of the Earth. This filtered interplanetary magnetic field (IMF) data is fed into a model to calculate a time series which we call AE*. This model was adjusted assuming that magnetic reconnection associated with southward directed IMF Bz is the main mechanism transferring energy into the magnetosphere. The calculated AE* was compared to the observed AE index using cross correlation analysis. The results show correlations as high as 0.90. Empirical removal of the high-frequency, short-wavelength Alfvénic component in the IMF by wavelet decomposition is shown to dramatically improve the correlation between AE* and the observed AE index. It is envisioned that this AE* can be used as the main input for a model to forecast relativistic electrons in the Earth's outer radiation belts, which are delayed by ~ 1 to 2 days from intense AE events.

The Temporoparietal Fascial Flap for Endoscopic Cranial Base Reconstruction: Technique, Indications, and Case Series

Skull Base ◽  
2009 ◽  
Vol 19 (03) ◽  
Author(s):  
Peter Costantino ◽  
David Hiltzik
Keyword(s):  
Case Series ◽  
Cranial Base ◽  
Reconstruction Technique ◽  
Fascial Flap

PEMBELAJARAN SIMULASI PENCITRAAN CT DENGAN MENGGUNAKAN PRINSIP REKONSTRUKSI CITRA DALAM SOFTWARE MATLAB

2015 ◽  
Vol 8 (3) ◽  
pp. 161
Author(s):  
Samuel Gideon
Keyword(s):  
Image Reconstruction ◽  
Ct Imaging ◽  
The Body ◽  
Reconstruction Technique ◽  
Imaging Features ◽  
Back Projection ◽  
Cross Sectional ◽  
Low Contrast ◽  
Image Reconstruction Technique ◽  
Imaging Algorithms

This research was conducted as a learning alternatives for study of CT (computed tomograpghy) imaging using image reconstruction technique which are inversion matrix, back projection and filtered back projection. CT imaging can produce images of objects that do not overlap. Objects more easily distinguishable although given the relatively low contrast. The image is generated on CT imaging is the result of reconstruction of the original object. Matlab allows us to create and write imaging algorithms easily, easy to undersand and gives applied and exciting other imaging features. In this study, an example cross-sectional image recon-struction performed on the body of prostate tumors using. With these methods, medical prac-titioner (such as oncology clinician, radiographer and medical physicist) allows to simulate the reconstruction of CT images which almost resembles the actual CT visualization techniques.Keywords : computed tomography (CT), image reconstruction, Matlab

Correction of Ebstein anomaly and pulmonary atresia in newborns using cone reconstruction technique

2019 ◽  
Vol 16 (2) ◽  
pp. 134-138
Author(s):  
N.V. Antsygin ◽  
R.R. Movsesyan ◽  
V.A. Bolsunovsky ◽  
A.A. Shikhranov ◽  
S.P. Shefer ◽  
...  
Keyword(s):  
Pulmonary Atresia ◽  
Reconstruction Technique ◽  
Ebstein Anomaly

Optimizing Gas-Assisted Processes for Ga and Xe FIB Circuit Edit Application

2016 ◽  
Author(s):  
Valery Ray ◽  
Josef V. Oboňa ◽  
Sharang Sharang ◽  
Lolita Rotkina ◽  
Eddie Chang ◽  
...  
Keyword(s):  
Inductively Coupled Plasma ◽  
Structural Damage ◽  
Focused Ion Beam ◽  
Ion Beam ◽  
Beam Width ◽  
Ion Source ◽  
Reconstruction Technique ◽  
Beam Diameter ◽  
Current Profile ◽  
Single Beam

Abstract Despite commercial availability of a number of gas-enhanced chemical etches for faster removal of the material, there is still lack of understanding about how to take into account ion implantation and the structural damage by the primary ion beam during focused ion beam gas-assisted etching (FIB GAE). This paper describes the attempt to apply simplified beam reconstruction technique to characterize FIB GAE within single beam width and to evaluate the parameters critical for editing features with the dimensions close to the effective ion beam diameter. The approach is based on reverse-simulation methodology of ion beam current profile reconstruction. Enhancement of silicon dioxide etching with xenon difluoride precursor in xenon FIB with inductively coupled plasma ion source appears to be high and relatively uniform over the cross-section of the xenon beam, making xenon FIB potentially suitable platform for selective removal of materials in circuit edit application.

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