Engineering
Direction-of-Arrival Estimation
100%
Signal-to-Noise Ratio
68%
Toeplitz Matrix
64%
Covariance Matrix
45%
Noise Suppression
27%
Simulation Result
25%
Performance Degradation
24%
Eigenvalue
21%
Correlation Matrix
21%
Image Quality Assessment
20%
Acoustic Field
20%
Regularization Parameter
20%
Subspace Method
20%
Side Scan Sonar
20%
Frequency Direction
20%
Chirp Signal
20%
Input Signal
20%
Beamforming
20%
Deconvolution
20%
Target Recognition
20%
Received Data
18%
Level Semantics
15%
Beamforming
15%
Frequency Domain
13%
Computational Complexity
13%
Array Response
11%
Experimental Result
11%
Degree of Freedom
10%
Noise Energy
10%
Row Vector
10%
Noise Subspace
10%
Computer Simulation
9%
Engineering
9%
Direction of Arrival
8%
Good Performance
8%
Selection Method
8%
Dimensionality
8%
Source Separation
6%
Complete Information
6%
Model Parameter
6%
Performance Loss
6%
Computational Load
6%
Deep Learning Method
6%
Angular Resolution
5%
Feature Extraction
5%
Conventional Method
5%
Linear Transformation
5%
Complexity Reduction
5%
Limitations
5%
Acoustic Source
5%
Computer Science
direction-of-arrival
80%
Noise-to-Signal Ratio
70%
Toeplitz Matrix
64%
Knowledge Distillation
40%
Estimation Performance
32%
Correlation Matrix
21%
Covariance Matrix
20%
Smoothing Algorithm
20%
Frequency Direction
20%
reconstruction algorithm
20%
Image Quality Assessment
20%
super resolution
20%
Neural Network
20%
Recognition Algorithm
20%
Target Recognition
20%
Frequency Point
16%
Deep Learning Method
15%
time-frequency distribution
13%
Frequency Domain
13%
Noise Suppression
11%
Performance Degradation
10%
Good Performance
10%
Higher Semantic Level
10%
Experimental Result
10%
Generalization Ability
10%
Deep Learning Model
10%
Convolutional Neural Network
10%
Dimensionality Reduction
8%
Estimation Accuracy
6%
Source Separation
6%
Image Quality
5%
Feature Dimension
5%
Feature Selection
5%
Level Attribute
5%
Critical Aspect
5%
Semantic Feature
5%
Knowledge Transfer
5%
Deployment Model
5%
Model Compression
5%
binarization
5%
Computing Resource
5%
Performance Loss
5%
Generalization Performance
5%
Computational Load
5%
Processing Power
5%
Localization Problem
5%
Prediction Accuracy
5%
Computational Resource
5%
Transfer Learning
5%
Attention (Machine Learning)
5%
