Covariance-based OFDM spectrum sensing with sub-Nyquist samples [PDF]
Signal Processing, 2015 30 pages, 5 ...
S. Alireza Razavi +2 more
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Phased Fractional Lower-Order Cyclic Moment Processed in Compressive Signal Processing
IEEE Access, 2019 In signal processing research, cyclostationarity and fractional lower-order statistics (FLOS) are two important solutions to non-stationary signals and non-Gaussian noises, respectively.
Tao Liu +4 more
doaj +1 more source
A Signal Theoretic Approach for Envelope Analysis of Real-Valued Signals
IEEE Access, 2017 Analytic envelope is the most prevalent definition of envelopes of real-valued signals. However, analytic signals are not adopted by some envelope detectors in application.
Yanli Yang
doaj +1 more source
Sample-Efficient Spatio-Spectral Whitespace Detection Using Least Matching Pursuit
IEEE Access, 2021 Multi-antenna wireless communication improves spectral efficiency by reusing frequencies at different locations in space using beamforming and spatial multiplexing.
Emre Gonultas +3 more
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A sub-Nyquist co-prime sampling music spectral approach for natural frequency identification of white-noise excited structures [PDF]
, 2018 Motivated by practical needs to reduce data transmission payloads in wireless sensors for vibration-based monitoring of civil engineering structures, this paper proposes a novel approach for identifying resonant frequencies of white-noise excited ...
Giaralis, A., Gkoktsi, K.
core +1 more source
A Constrained Random Demodulator for Sub-Nyquist Sampling [PDF]
IEEE Transactions on Signal Processing, 2013 Preprint of a journal paper accepted for publication in: IEEE Trans. Signal Processing, 2013 (copyright has been transferred to IEEE)
Harms, Andrew +2 more
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Joint DOA and frequency estimation with sub‐Nyquist sampling for more sources than sensors
IET Radar, Sonar & Navigation, 2017 Multiple antenna systems with sub‐Nyquist sampling technique have been applied to jointly estimate frequency and direction‐of‐arrival of narrowband far‐field signals.
Liang Liu, Ping Wei
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A signal reconstruction method of wireless sensor network based on compressed sensing
EURASIP Journal on Wireless Communications and Networking, 2020 Compressed sensing (CS) is a new theory for sampling and recovering signal-based sparse transformation. This theory could help us to acquire complete signal at low cost.
Shiyu Zhu +4 more
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Sinc interpolation of nonuniform samples [PDF]
, 2010 It is well known that a bandlimited signal can be uniquely recovered from nonuniformly spaced samples under certain conditions on the nonuniform grid and provided that the average sampling rate meets or exceeds the Nyquist rate.
core +1 more source
Impact of Groundtrack Pattern of a Single Pair Mission on the Gravity Recovery Quality
Geosciences, 2018 For future gravity satellite missions, aliasing of high frequency geophysical signals into the lower frequencies is one of the most challenging obstacles to recovering true gravity signals, i.e., to recover the truth.
Siavash Iran-Pour +3 more
doaj +1 more source