Engineering
Bit Rate
33%
Blind Signal Separation
16%
Compressed Sensing
66%
Compressive Sampling
33%
Compressive Sensing
66%
Computational Complexity
22%
Data Rate
33%
Dictionary Learning
66%
Gaussian White Noise
33%
Hard Thresholding
66%
Incoherence
33%
Low Bit Rate
33%
Memory Requirement
22%
Nyquist Limit
16%
Nyquist Rate
22%
Observation Noise
22%
Phasor
33%
Point Form
16%
Recovery Problem
22%
Sensing System
66%
Signal-to-Noise Ratio
22%
Sparse Coding
66%
Sparsity
22%
Computer Science
Average Performance
16%
Computation Time
16%
Dictionary Learning
66%
Filter Bank
66%
Fixed Points
16%
Generative Model
16%
Learning Problem
33%
Majorization Method
66%
Measurement Operator
22%
Nyquist Frequency
22%
Objective Function
16%
Recovery Problem
22%
Source Separation
66%
Sparse Approximation
66%
Sparse Solution
66%
Sparsity
16%
Statistical Estimation
16%
Training Sample
16%
Mathematics
Convex Hull
16%
Linear Map
16%
Linear Subspace
66%
Lipschitz Constant
16%
Majorization
66%
Necessary and Sufficient Condition
16%
Nyquist Frequency
100%
Observation Space
33%
One-to-One
33%
Orthonormal Basis
50%
Sampling Scheme
16%
Sampling Theorem
66%
Shannon Sampling Theorem
33%
Tree Structure
16%