Mathematics
Additive Noise
11%
Bases
11%
Classes
11%
Denoising
11%
Gaussian Standard
22%
Least Square Estimation
11%
Matrix
55%
Mean Square Error
11%
Nonuniform
22%
Numerical Experiment
22%
Orthogonal Matrix
11%
Random Matrix
100%
Regularization
22%
Vectors
11%
Zeros
11%
Engineering
Accuracy
11%
Additive Noise
11%
Analytical Result
11%
Basis Pursuit
11%
Integration
11%
Least Square
11%
Mean Square Error
11%
Measurement Matrix
33%
Model System
11%
Noise Level
11%
Numerical Experiment
22%
Orthogonal Matrix
11%
Performance
22%
Practical Application
11%
Regularization
22%
Replica Method
11%
Source Vector
11%
Sparsity
11%
Sparsity Pattern
11%
Standard Case
11%
Zeros
11%
Physics
Compressed Sensing
100%
Detection
11%
Dimensions
11%
Matrix
100%
Performance
22%
Standard
22%
Computer Science
Accuracy
11%
Classes
11%
Least Squares Methods
11%
Matrix Measurement
33%
Models
11%
Practical Application
11%
Regularization
22%
Sparsity
11%
Sparsity Pattern
11%
Standards
22%
Superior Performance
11%
Vectors
11%
Economics, Econometrics and Finance