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Keyphrases
Compressed Sensing
60%
Sparse Signal Representation
40%
Wireless Communication
40%
State-of-the-art Techniques
26%
Phase Transition
26%
Discrete Fourier Transform
26%
Reconstruction Algorithm
25%
AWGN Channel
20%
RF Signals
20%
Applied Signal Processing
20%
Two-section
20%
Integrated Circuit Design
20%
Communication Receiver
20%
Wireless Signal
20%
Texas Instruments
20%
PhD Students
20%
Signal Processing
20%
Sweden
20%
Lund University
20%
Aalborg
20%
Reconstruction Error
20%
Scientific Areas
20%
Belgium
20%
Radio Signal
20%
Postdocs
20%
KU Leuven
20%
Analog Signal
20%
Digital Signal Processing
20%
Redundancy
20%
International Context
20%
Fundamental Signals
20%
Wireless Communication Systems
20%
Process Signal
20%
Audio
20%
Energy Saving
20%
Sparse Domain
20%
Smoothed L0
20%
Industrial Companies
20%
Power Consumption
20%
Random Demodulator
20%
Model Calibration
20%
Signal-to-noise
20%
Spread Spectrum Technology
20%
Linear Correlation
20%
Baseband Signal
20%
Quantization Index
20%
Saturated Measurement
20%
Resynthesize
20%
Noise Measurement
20%
Imperfection
20%
Downsampling
20%
L1-norm
20%
Signal Reconstruction
13%
Correlated Noise
13%
Measurement Matrix
13%
Compressive Measurement
13%
Impulse Response
13%
Spread Spectrum System
10%
Digital Domain
6%
Basis Pursuit Denoising
6%
8PSK
6%
QPSK Signal
6%
Information Bits
6%
Constellation Sets
6%
Correlated Measurements
6%
Binary Iterative Hard Thresholding
6%
Compressed Sensing Reconstruction
6%
Additive Noise
6%
Signal of Interest
6%
Relaxation-based
6%
Convex Relaxation
6%
Bandlimited Signals
6%
Matrix Perturbation
6%
Additive Error
6%
Response Error
6%
Simple Technique
6%
Nonzero Coefficients
6%
Model Mismatch
6%
Calibration Method
6%
Model-based Approach
6%
Accurate Model
6%
Low Signal-to-noise Ratio
6%
Least Squares Estimation
6%
Numerical Experiments
6%
Error Estimates
6%
Channel Sampling
6%
Analog Front-end
6%
Sensing Architecture
6%
Component Variation
6%
Sparse multiband Signal
6%
1-bit
6%
Hardware Device
6%
Method Performance
6%
Filtering Response
6%
Filter Model
6%
Complex Plane
6%
Algorithm-based
6%
High Probability
6%
Frequency-domain Sparsity
6%
Average Sample number
6%
Tolerance to Noise
6%
Computational Cost
6%
Numerical Analysis
6%
Compressed Sensing Algorithm
6%
Multi-coset
6%
Discretize
6%
Sparse Signal
6%
Sub-Nyquist Sampling
6%
Trigonometric Interpolation
6%
Low Dose Rate
6%
General Category
6%
Modified Algorithm
5%
Amplitude Parameters
5%
Modern Communication System
5%
Spread Spectrum Code
5%
Compressive Sensing Technique
5%
Computation Time
5%
Empirical Tuning
5%
Undersampled Signal
5%
Worst-case Performance
5%
Engineering
Compressed Sensing
100%
Sparse Signal
63%
Signal Processing
60%
Compressive Sensing
53%
Wireless Communication
44%
Spread Spectrum
40%
Measurement Matrix
36%
Communication System
31%
Signal-to-Noise Ratio
28%
Signal Reconstruction
26%
Discrete Fourier Transform
26%
Computational Complexity
24%
Error Vector
20%
Demodulator
20%
Direct Conversion Receiver
20%
Measurement Noise
20%
Single Channel
20%
Quadrature Phase Shift Keying
20%
Direct Sequence Spread Spectrum
20%
Digital Signal Processing
19%
Electric Power Utilization
19%
Sampling Rate
17%
Numerical Experiment
17%
Nyquist Rate
16%
Basis Pursuit
16%
Orthogonal Matching Pursuit
16%
Code Division Multiple Access
14%
Impulse Response
13%
Spread spectrum communication
13%
State-of-the-Art Technique
13%
Texas Instrument
13%
Integrated Circuit Design
13%
Frequency Signal
13%
Digital Domain
13%
Analog Signal
13%
Baseband Signal
13%
Radio Frequency
13%
Applied Signal Processing
13%
United States of America
13%
Numerical Analysis
13%
Sparsity
10%
Nyquist Frequency
10%
Classification Algorithm
10%
Computer Simulation
10%
Design Parameter
8%
Bit Error Rate
8%
Global Positioning System
8%
Signal Space
8%
Complex Plane
6%
Signal Band
6%
Data Rate
6%
Sampling Frequency
6%
Computational Power
6%
Processing Module
6%
Frequency Domain
6%
Signal Acquisition
6%
Information Bit
6%
Execution Time
6%
Front End
6%
Lowpass Filter
6%
Analog Front
6%
State-of-the-Art Method
6%
Error Estimate
6%
Instrument Calibration
6%
Hard Thresholding
6%
Nonzero Coefficient
6%
Additive Noise
6%
Computational Cost
6%
System Model
6%
Least Squares Method
6%
Theoretical Work
6%
Metrics
5%
Simulated Data
5%
Optimization Method
5%
Measured Data
5%
Optimisation Procedure
5%
Reference Signal
5%
Initial Condition
5%
Local Method
5%
Convex Problem
5%
Test Signal
5%
Newton's Method
5%
Optimisation Problem
5%
Computer Science
reconstruction algorithm
63%
Compressed Sensing
60%
Wireless Communication
40%
Signal Processing
40%
Computational Complexity
32%
Sampling Rate
29%
Compressive Sensing
27%
Translation Invariant
20%
Parameter Estimation
20%
Quantization Index
20%
Power Consumption
20%
Needed Information
20%
Radio Frequency Signal
20%
Applied Signal Processing
20%
Digital Signal Processing
20%
Integrated Circuit Design
20%
wireless communication system
20%
Analog Signal
20%
Baseband Signal
20%
Interpolation
20%
United States of America
20%
Performance Comparison
20%
Reconstruction Error
20%
Fourier Transform
20%
Measurement Noise
20%
multiple signal classification
20%
Quadrature Phase Shift Keying
20%
Signal Reconstruction
13%
Signal-to-Noise Ratio
13%
de-noising
13%
Computation Time
10%
Matrix Measurement
6%
Dictionary Matrix
6%
Execution Time
6%
Channel Approach
6%
Real-Time Application
6%
Signal Acquisition
6%
Information Bit
6%
Hardware Resource
6%
Nyquist Frequency
6%
Computational Simulation
6%
Numerical Analysis
6%
Correlated Noises
6%
Convex Relaxation
6%
Interpolation Function
6%
Hard Thresholding
6%
Computational Cost
6%
Numerical Simulation
6%
Classification Algorithm
6%
Nonzero Coefficient
6%