Engineering
Compressive Sensing
100%
Sampling Rate
28%
Spread Spectrum
23%
Communication System
23%
Discrete Fourier Transform
23%
Parameter Estimation
23%
Computational Complexity
22%
Code Division Multiple Access
17%
Spectral Estimation
16%
Signal-to-Noise Ratio
12%
Sparse Signal
12%
Sparsity
12%
Numerical Experiment
10%
Wireless Communication
9%
Design Parameter
9%
Bit Error Rate
9%
Fits and Tolerances
7%
Complex Plane
7%
Data Rate
7%
Discretization
7%
Interpolation Function
7%
Information Bit
7%
Parameter Space
7%
Delay Estimation
5%
Metrics
5%
Super-Resolution Algorithm
5%
Frequency Estimation
5%
Keyphrases
AWGN Channel
23%
Spread Spectrum Receiver
23%
Direct Sequence Spread Spectrum (DS-SS)
23%
Compressive Signal Processing
23%
Spread Spectrum Communication
23%
Rank Deficiency
23%
Spread Spectrum Technology
23%
Polar Interpolation
23%
Estimation Precision
17%
Spread Spectrum Systems
11%
2.4 GHz ISM Band
11%
Coarse Acquisition
9%
Measurement Matrix
9%
Signal Space
9%
8PSK
7%
Phase Transition
7%
QPSK Signal
7%
Information Bits
7%
Constellation Sets
7%
Frequency Parameter
7%
Signal Recovery
7%
Line Spectral Estimation
7%
Precision Sampling
5%
Compressive Sensing Measurements
5%
Nyquist Sampling Rate
5%
Complex Estimation
5%
Amplitude Parameter
5%
Signaling Domain
5%
Receiver Model
5%
Measurement Scheme
5%
Spread Spectrum Sequence
5%
Computer Science
Compressive Sensing
35%
Translation Invariant
23%
Parameter Estimation
23%
Sampling Rate
23%
Computational Complexity
17%
Information Bit
7%
Estimation Algorithm
5%
Performance Metric
5%
Frequency Estimation
5%
Approximation (Algorithm)
5%
super resolution
5%
time delay estimation
5%