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Phase extraction of a set of Phase-shifting patterns reduced basis decomposition

2021 ◽  
Author(s):  
Jinlu Han ◽  
Pu Ma ◽  
Chang Liu ◽  
Hubing Du
Keyword(s):  
Phase Shifting ◽  
Phase Extraction ◽  
Reduced Basis ◽  
Basis Decomposition

Basis Decomposition I

2021 ◽  
pp. 149-188
Keyword(s):  
Basis Decomposition

Basis Decomposition I

2021 ◽  
pp. 92-148
Keyword(s):  
Basis Decomposition

Moving Basis Decomposition for Precomputed Light Transport

2021 ◽  
Vol 40 (4) ◽  
pp. 127-137
Author(s):  
Ari Silvennoinen ◽  
Peter‐Pike Sloan
Keyword(s):  
Light Transport ◽  
Basis Decomposition

scholarly journals Exact Solutions for Incompressible Viscous Fluid: Basis Decomposition

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
V. Vaskin ◽  
V. Lebedev ◽  
T. Ivanova ◽  
V. Bovin
Keyword(s):  
Viscous Fluid ◽  
Exact Solutions ◽  
Incompressible Viscous Fluid ◽  
Basis Decomposition

Tutorial on Empirical Mode Decomposition: Basis Decomposition and Frequency Adaptive Graduation in Non-Stationary Time Series

2021 ◽  
Author(s):  
Cole van Jaarsveldt ◽  
Gareth Peters ◽  
Matthew Ames ◽  
Michael John Chantler
Keyword(s):  
Time Series ◽  
Empirical Mode Decomposition ◽  
Stationary Time Series ◽  
Stationary Time ◽  
Mode Decomposition ◽  
Basis Decomposition

Dual-energy CT reconstruction using deep mutual-domain knowledge for basis decomposition and denoising

2020 ◽  
Author(s):  
Yikun Zhang ◽  
Ting Su ◽  
Jiongtao Zhu ◽  
Yang Chen ◽  
Hairong Zheng ◽  
...  
Keyword(s):  
Domain Knowledge ◽  
Dual Energy ◽  
Dual Energy Ct ◽  
Ct Reconstruction ◽  
Basis Decomposition

scholarly journals CONSTRUCTING A MODEL OF VIBROSEIS SIGNAL COMPLICATED BY HARMONICS

2020 ◽  
Vol 1 (1) ◽  
pp. 72-83 ◽  
Author(s):  
M. S. Denisov ◽  
A. A. Egorov
Keyword(s):  
Mathematical Model ◽  
Basis Function ◽  
Harmonic Distortion ◽  
Frequency Range ◽  
Frequency Dependent ◽  
Function Decomposition ◽  
Starting Point ◽  
Processing Algorithms ◽  
The Mathematical Model ◽  
Basis Decomposition

We solve the problem of constructing the mathematical model of a vibroseis signal distorted by harmonics. Basis function decomposition is used for the approximation. The basis decomposition coefficients are frequency-dependent, i. e. filters are applied instead of multipliers. The resulting model will be the starting point for further research aimed at developing processing algorithms for the suppression of harmonic distortion, or for utilizing the harmonics to extend the frequency range of the signal.

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