Keyphrases
Preconditioned Conjugate Gradient Method
60%
Color Restoration
59%
High-resolution
59%
Multi-sensor
59%
Cosine Transform
59%
Neumann Boundary Condition
56%
Block Toeplitz
49%
Regularized Image Reconstruction
39%
Sub-pixel Displacement
39%
Generalized Autoregressive Conditional Heteroscedasticity (GARCH)
34%
Undersampling
29%
Spatially Variant
29%
Atmospheric Turbulence
19%
Series Analysis
19%
Blind Deconvolution
19%
Phase Diversity
19%
Atmospheric Optics
19%
Online Classes
19%
Hong Kong
19%
Dual-mode Imaging
19%
Least Squares
19%
Image Reconstruction
19%
Conditional Correlation
19%
Iterative Regularization
19%
Multivariate Thresholds
19%
Volatility
19%
Image Processing
19%
Face-to-face Learning
19%
Diagnostic Checking
19%
HYGARCH
19%
Fast Algorithm
19%
Learning Effectiveness
19%
Participation Patterns
19%
ARFIMA
19%
Polytechnic University
19%
Iterative Methods
19%
Linear Systems
19%
High-resolution Image
19%
Displacement Error
19%
H1 Regularization
19%
Reconstruction Problem
19%
Regularization Functional
19%
Tikhonov Regularization
19%
Boundary Artifacts
19%
Color Channel
19%
Color Image
19%
Reflectivity
19%
Fast Convergence
19%
Numerical Examples
19%
Long Memory
18%
Mathematics
Matrix (Mathematics)
100%
Conjugate Gradient Method
66%
Cosine Transform
66%
Regularization
60%
Color Image
59%
Neumann Boundary Condition
56%
Conditionals
49%
Linear System
36%
GARCH Model
33%
Correlation Model
19%
Fast Algorithm
19%
Nonlinearities
19%
Autocorrelation
19%
Heteroscedasticity
19%
Residuals
19%
Numerical Example
19%
Coefficient Matrix
13%
Inverse Covariance Matrix
13%
Discrete Cosine Transform
13%
Gaussian Random Field
13%
Convolution
9%
Spectral Decomposition
9%
Posed Problem
9%
Hankel Matrix
9%
Time Series Model
9%
Goodness of Fit Test
9%
Market Risk
9%
Fitted Model
9%
Inferential Statistics
9%
Asymptotic Distribution
9%
Asymptotic Property
9%
Maximum Likelihood Estimation
9%
Autoregressive Integrated Moving Average
9%
Maximum Likelihood Estimator
9%
Conditional Variance
9%
Test Statistic
9%
Asymptotic Normality
9%
Gaussian Distribution
9%
Engineering
High Resolution
59%
Image Reconstruction
59%
Conjugate Gradient Method
53%
Subpixels
46%
Resolution Image
39%
Blind Deconvolution
19%
Atmospheric Turbulence
19%
Least Square
19%
Multichannel Image
19%
Color Image
19%
Fast Algorithm
19%
Two Dimensional
19%
Random Field
19%
Coefficient Matrix
19%
Covariance Matrix
19%
Dimensional Discrete
19%
Estimation Scheme
19%
Imaging Systems
19%
Experimental Result
19%
Gaussians
19%
Matrix Degradation
13%
Regularization
13%
Degraded Image
9%
Propagation Path
9%
Numerical Example
6%
Illustrates
6%
Neumann Boundary Condition
6%
Reconstruction Problem
6%
Color Channel
6%
