Results 31 to 40 of about 4,726 (246)
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
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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
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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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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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Deep Unfolded Recovery of Sub-Nyquist Sampled Ultrasound Images
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2021 The most common technique for generating B-mode ultrasound (US) images is delay and sum (DAS) beamforming, where the signals received at the transducer array are sampled before an appropriate delay is applied. This necessitates sampling rates exceeding the Nyquist rate and the use of a large number of antenna elements to ensure sufficient image quality.
Alon Mamistvalov, Yonina C. Eldar
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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
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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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The Intriguing Structure of Stripes in GRACE Geopotential Models
Remote Sensing, 2021 Geopotential models derived from Gravity Recovery and Climate Experiment (GRACE) mission measurements are significantly obscured by the presence of a systematic artifact, known as longitudinal stripes.
Spiros Pagiatakis, Athina Peidou
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Covariance-based OFDM spectrum sensing with sub-Nyquist samples [PDF]
Signal Processing, 2015 30 pages, 5 ...
Seyed Alireza Razavi +2 more
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IEEE Access, 2018 Recently developed variable pulse width finite rate of innovation (VPW-FRI) theory offers an efficient way for sampling pulse streams with various shapes at the sub-Nyquist rate.
Guoxing Huang, Ning Fu, Liyan Qiao
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