Keyphrases
Compressed Sensing
100%
Measurement Matrix
100%
Random Matrix Ensembles
100%
Reconstruction Matrix
100%
Numerical Experiments
66%
Additive Noise
33%
Easy-to-implement
33%
Sparsity
33%
Superior Performance
33%
Noise Level
33%
Least Absolute Shrinkage and Selection Operator (LASSO)
33%
2-norm
33%
L1-norm
33%
Mean Square Error
33%
Analytical Results
33%
Sparsity Pattern
33%
Regularized Least Squares
33%
Replica Method
33%
Least Squares Estimation
33%
Zero-norm
33%
Norm Regularization
33%
Sensing Matrix
33%
Gaussian Ensembles
33%
Orthogonal Matrix
33%
Suboptimal Choice
33%
Novel Matrix
33%
Error Behavior
33%
LASSO Estimation
33%
Basis Pursuit Denoising
33%
Engineering
Compressed Sensing
100%
Measurement Matrix
100%
Numerical Experiment
66%
Gaussians
66%
Regularization
66%
Model System
33%
Additive Noise
33%
Sparsity Pattern
33%
Analytical Result
33%
Replica Method
33%
Sparsity
33%
Least Square
33%
Noise Level
33%
Mean Square Error
33%
Source Vector
33%
Basis Pursuit
33%
Orthogonal Matrix
33%
Mathematics
Random Matrix
100%
Matrix Measurement
100%
Matrix
66%
Nonuniform
66%
Regularization
66%
Gaussian Standard
66%
Numerical Experiment
66%
Mean Square Error
33%
Least Square Estimation
33%
Orthogonal Matrix
33%
INIS
matrices
100%
randomness
100%
norm
42%
performance
28%
construction
28%
noise
28%
levels
14%
applications
14%
geometry
14%
additives
14%
errors
14%
accuracy
14%
dimensions
14%
vectors
14%
replicas
14%
least square fit
14%