Results 21 to 30 of about 304 (202)
Tensor Completion From Regular Sub-Nyquist Samples
IEEE Transactions on Signal Processing, 2020 Signal sampling and reconstruction is a fundamental engineering task at the heart of signal processing. The celebrated Shannon-Nyquist theorem guarantees perfect signal reconstruction from uniform samples, obtained at a rate twice the maximum frequency present in the signal.
Charilaos I. Kanatsoulis +3 more
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High-Fidelity Compressive Heart Rate Tracking
IEEE Access, 2023 Recently, photoplethysmography sensors in smart watches have been frequently used to monitor heart rate. Because a photoplethysmography sensor flashes light on the skin and measures the reflected light, the rate of flashing and sampling is directly ...
Seungyoon Nam +2 more
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Sub-Nyquist SAR via Quadrature Compressive Sampling with Independent Measurements
Remote Sensing, 2019 This paper presents an efficient sampling system for the acquisition of synthetic aperture radar (SAR) data at sub-Nyquist rate. The system adopts a quadrature compressive sampling architecture, which uses modulation, filtering, sampling and digital ...
Huizhang Yang +3 more
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IEEE Access, 2018 Sub-Nyquist sampling is a common means of interfering with inverse synthetic aperture radar (ISAR) imaging, which has been validated for the feasibility of 1-D compressive sensing (CS) ISAR imaging.
Jiyuan Chen +3 more
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Parallel multi-rate compressed sampling with a sub-Nyquist sampling rate
IEICE Electronics Express, 2014 Jianhua Zhang, Ping Zhang
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Wideband Power Spectrum Estimation Based on Sub-Nyquist Sampling in Cognitive Radio Networks
IEEE Access, 2019 The wideband spectrum estimation is an essential step in the wireless network. In order to avoid employing power-hungry high-rate analog-to-digital converters (ADCs), the CS-based sub-Nyquist sampling approaches are used to estimate the wideband spectrum.
Yijiu Zhao +4 more
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Fault Diagnosis of a Propeller Using Sub-Nyquist Sampling and Compressed Sensing
IEEE Access, 2022 The fault diagnosis of rotating machinery is generally performed using methods that employ vibration and sound. These methods are simple and accurate. However, all of these methods measure vibration data on the basis of the sampling theorem.
Yuki Kato
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A Low Complexity Sensing Algorithm for Non-Sparse Wideband Spectrum
Sensors, 2022 The vast majority of existing sub-Nyquist sampling wideband spectrum sensing (WSS) methods default to a sparse spectrum. However, research data suggests that in the near future, the wideband spectrum will no longer be sparse.
Shiyu Ren +4 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
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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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