Results 1 to 10 of about 385,970 (163)
Narrowband array processing beamforming technique for electrical impedance tomography [PDF]
Journal of Electrical Bioimpedance, 2019 Electrical impedance tomography (EIT) has a large potential as a two dimensional imaging technique and is gaining attention among researchers across various fields of engineering.
Chitturi Venkatratnam, Farrukh Nagi
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Statistical Analysis of the Performance of MDL Enumeration for Multiple-Missed Detection in Array Processing [PDF]
Sensors, 2015 An accurate performance analysis on the MDL criterion for source enumeration in array processing is presented in this paper. The enumeration results of MDL can be predicted precisely by the proposed procedure via the statistical analysis of the sample ...
Fei Du, Yibo Li, Shijiu Jin
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Microphone Array Speech Processing [PDF]
EURASIP Journal on Advances in Signal Processing, 2010 1Department of Electrical and Computer Engineering, Curtin University of Technology, Perth, WA 6845, Australia 2College of Engineering & Computer Science, The Australian National University, Canberra, ACT 0200, Australia 3 Institute of Physics, Signal Processing Group, University of Oldenburg, 26111 Oldenburg, Germany 4 School of Engineering, Bar-Ilan ...
Sven Nordholm +5 more
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Contour Estimation by Array Processing Methods [PDF]
EURASIP Journal on Advances in Signal Processing, 2006 This work is devoted to the estimation of rectilinear and distorted contours in images by high-resolution methods. In the case of rectilinear contours, it has been shown that it is possible to transpose this image processing problem to an array ...
Bourennane Salah, Marot Julien
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Multi-Feature Matching GM-PHD Filter for Radar Multi-Target Tracking
Sensors, 2022 Multi-target tracking (MTT) is one of the most important functions of radar systems. Traditional multi-target tracking methods based on data association convert multi-target tracking problems into single-target tracking problems.
Jin Tao +5 more
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Applied Sciences, 2022 In order to solve the problem that the measurement noise covariance may be unknown or change with time in actual multi-target tracking, this paper brings the variational Bayesian approximation method into the trajectory probability hypothesis density ...
Xingchen Lu +8 more
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A Sector-Matching Probability Hypothesis Density Filter for Radar Multiple Target Tracking
Applied Sciences, 2023 The development of high-tech, dim, small targets, such as drones and cruise missiles, brings great challenges to radar multi-target tracking (MTT), making it necessary to extend the beam dwell time to obtain a high signal-to-noise ratio (SNR).
Jialin Yang +6 more
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A Labeled GM-PHD Filter for Explicitly Tracking Multiple Targets
Sensors, 2021 In this study, an explicit track continuity algorithm is proposed for multitarget tracking (MTT) based on the Gaussian mixture (GM) implementation of the probability hypothesis density (PHD) filter. Trajectory maintenance and multitarget state extraction
Yiyue Gao +3 more
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Sensors, 2021 The verticals of 5G, such as the automotive, smart grid, and smart cities sectors, will bring new sensors and IoT devices requiring Internet connectivity.
Joan Bas, Alexis A. Dowhuszko
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Constant-Beamwidth Beamforming with Concentric Ring Arrays
Sensors, 2021 Designing beampatterns with constant beamwidth over a wide range of frequencies is useful in many applications in speech, radar, sonar and communication. In this paper, we design constant-beamwidth beamformers for concentric ring arrays.
Avital Kleiman +2 more
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