Results 1 to 10 of about 1,492,451 (279)
Bayesian Compressive Sensing as Applied to Directions-of-Arrival Estimation in Planar Arrays
Journal of Electrical and Computer Engineering, 2013 The Bayesian compressive sensing (BCS) is applied to estimate the directions of arrival (DoAs) of narrow-band electromagnetic signals impinging on planar antenna arrangements.
Matteo Carlin +3 more
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A Computerized Bioinspired Methodology for Lightweight and Reliable Neural Telemetry
Sensors, 2020 Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (BeCoS)
Olufemi Adeluyi +4 more
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A Bayesian Compressive Sensing Vehicular Location Method Based on Three-Dimensional Radio Frequency
International Journal of Distributed Sensor Networks, 2014 In vehicular ad hoc networks (VANETs) safety applications, vehicular position is fundamental information to achieve collision avoidance and fleet management.
Yunpeng Wang +5 more
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Sensors, 2018 Device-free localization (DFL) that aims to localize targets without carrying any electronic devices is addressed as an emerging and promising research topic.
Yan Guo, Dongping Yu, Ning Li
doaj +1 more source
International Journal of Antennas and Propagation, 2015 A novel technique for localization of narrowband near-field sources is presented. The technique utilizes the sensor-angle distribution (SAD) that treats the source range and direction-of-arrival (DOA) information as sensor-dependent phase progression ...
Si Qin +3 more
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Joint-Sparse Polarimetric ISAR Imaging via Complex-Valued Multitask Bayesian Compressive Sensing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingCompressive sensing (CS) is essential for achieving high-resolution polarimetric inverse synthetic aperture radar (ISAR) imaging. However, conventional sparse recovery paradigms primarily rely on independent single-channel processing, thereby neglecting ...
Ruowen Deng +3 more
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Sensor Signal and Information Processing II
Sensors, 2020 This Special Issue compiles a set of innovative developments on the use of sensor signals and information processing. In particular, these contributions report original studies on a wide variety of sensor signals including wireless communication ...
Wai Lok Woo, Bin Gao
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Robust object tracking algorithm based on sparse eigenbasis
IET Computer Vision, 2014 To reduce the computation and to improve the performance of object detection and tracking algorithm with object appearance variation, a tracker based on sparse eigenbasis is proposed. According to the compressive sensing theory, the objects are described
Jing Li, Junzheng Wang
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A Review of Sparse Recovery Algorithms
IEEE Access, 2019 Nowadays, a large amount of information has to be transmitted or processed. This implies high-power processing, large memory density, and increased energy consumption.
Elaine Crespo Marques +4 more
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Device-Free Localization Scheme With Time-Varying Gestures Using Block Compressive Sensing
IEEE Access, 2020 In Device-Free Localization (DFL) schemes, most researches assume that the targets are stationary with fixed gestures and motions. However, objects always change their gestures in practice, undoubtedly influencing the localization accuracy.
Yan Guo +3 more
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