Engineering
Beamforming
64%
Channel Estimation
51%
Channel Estimation Error
29%
Channel Matrix
58%
Channel Parameter
23%
Channel State Information
47%
Circulant
44%
Closed Form
68%
Closed Form Solution
45%
Compressive Sensing
72%
Cyclic Prefix
46%
Decision Fusion
35%
Detection Probability
26%
Detection Scheme
46%
Domain Equalization
44%
Equalizers
26%
Estimation Scheme
24%
Frequency Domain
57%
Fusion Rule
28%
Illustrates
41%
Joint Source
26%
Joints (Structural Components)
26%
Least Square
42%
Linear Equation
24%
Massive MIMO
35%
Matrix Structure
25%
Mean Square Error
67%
Metrics
25%
Multi-Input Multi-Output
28%
Multiple-Input Multiple-Output
76%
Multiuser
39%
Noise Variance
52%
Optimisation Problem
29%
Orthogonal Frequency Division Multiplexing
44%
Orthogonal Matching Pursuit
30%
Orthogonal Space
26%
Periodic Filter
26%
Power Allocation
35%
Power Allocation Scheme
25%
Precoders
26%
Restricted Isometry Constant
28%
Restricted Isometry Property
31%
Sensor Network
53%
Sensor Noise
39%
Sidelobe Canceller
29%
Signal Reconstruction
48%
Simulation Result
60%
Sparse Signal
74%
Time Domain
23%
Wireless Sensor Network
91%
Keyphrases
1-minimization
41%
Best Linear Unbiased Prediction
52%
Blind Channel Estimation
45%
Block-circulant
38%
Channel Estimation Error
29%
Channel Matrix
58%
Channel State Information
39%
Circulant
35%
Compressed Sensing
73%
Cooperative Beamforming
28%
Cyclic Prefix
38%
Decentralized Estimation
29%
Decision Fusion
35%
Detection Scheme
38%
Energy Detection
35%
Frequency-domain Equalization
44%
Fusion Center
48%
Fusion Rule
27%
Generalized Sidelobe Canceller
29%
Least Squares
38%
Low-density Parity-check Codes
28%
Matrix Structure
27%
Mean Square Error
63%
Medium Access Control
44%
Multi-input multi-output
28%
Multi-packet Reception
44%
Multigroup
39%
Noise Variance
51%
Numerical Simulation
35%
One-bit
28%
Optimization Problem
30%
Orthogonal Frequency Division multiplexing System
27%
Orthogonal Matching Pursuit
33%
Performance Guarantee
58%
Periodic Modulation
26%
Power Allocation
35%
Precoder
27%
Received Signal
27%
Relay Link
42%
Sensing Matrix
30%
Sensor Networks
53%
Sensor Noise
38%
Single-carrier Block Transmission
45%
Space-time Block Codes
50%
Sparse Signal Recovery
40%
Sparse Subspace Clustering
44%
Sparse Vector
37%
Spectrum Sensing
30%
Support Identification
46%
Wireless Sensor Networks
94%
Computer Science
Approximation (Algorithm)
14%
Centralized Approach
14%
Channel Estimation
49%
Channel Matrix
47%
Channel Parameter
14%
Channel State Information
46%
Cognitive Radio
15%
Communication Cost
22%
Communication Network
19%
Communication Overhead
17%
Compressed Data
17%
Compressive Sensing
74%
Computational Complexity
29%
Computer Simulation
90%
Cooperative Communication
20%
Data Compression
22%
decode-and-forward
17%
Detection Probability
22%
Detection Region
20%
Energy Consumption
13%
Energy Detection
17%
Energy Efficiency
25%
Energy Efficient
20%
Estimation Error
20%
Estimation Scheme
17%
Fixed Points
17%
generalized likelihood-ratio test
15%
Implementation Complexity
20%
Intersymbol Interference
14%
Likelihood Ratio
18%
Media Access Control Protocol
44%
MIMO Systems
41%
MIMO-OFDM Dual-Functional Radar-Communication Systems
17%
Noise Variance
61%
Noise-to-Signal Ratio
22%
Numerical Simulation
20%
Orthogonal Frequency Division Multiplexing
35%
Packet Reception
26%
Performance Guarantee
32%
Power Allocation
37%
Reconstruction Error
14%
Sensor Networks
44%
Sensor Node
30%
Signal Reconstruction
37%
space-time block coded
35%
Support Vector
17%
Transmitted Symbol
16%
Weighting Coefficient
16%
Wireless Network
30%
Wireless Sensor Network
100%
