Results 31 to 40 of about 1,903,363 (255)
IEEE Access, 2021 A novel sparse automotive multiple-input multiple-output (MIMO) radar configuration is proposed for low-complexity super-resolution single snapshot direction-of-arrival (DOA) estimation.
Navid Amani +4 more
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Gaussian Signal Detection With Product Arrays
IEEE Access, 2020 The paper specifies the probability density function (PDF) for the detection statistic for a product processor of colinear arrays. The product processor's detection PDF is a scaled product of the detection statistic with modified Bessel functions.
Kaushallya Adhikari, John R. Buck
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IEEE Access, 2020 Sparse array arrangement has been widely used in vector-sensor arrays because of increased degree-of-freedoms for identifying more sources than sensors.
Zhiyong Cheng +4 more
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Frontiers in Oncology, 2022 IntroductionLight-emitting diodes (LEDs) have become a new light source for photodynamic therapy (PDT) because of their excellent optical properties, small size, and low cost.
Xiafei Shi +5 more
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A Robust and Statistically Efficient Maximum-Likelihood Method for DOA Estimation Using Sparse Linear Arrays [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2022 The recent trend of research on direction-of-arrival estimation is to localize more uncorrelated sources than sensors by using a proper sparse linear array (SLA) at the cost of robustness to source correlations even in the regime of less sources than ...
Zai Yang, Xinyao Chen, Xun-Meng Wu
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Sense: Model-Hardware Codesign for Accelerating Sparse CNNs on Systolic Arrays [PDF]
IEEE Transactions on Very Large Scale Integration (vlsi) Systems, 2022 Sparsity is an intrinsic property of convolutional neural networks (CNNs), worth exploiting for CNN accelerators. However, the extra processing involved comes with hardware overhead, resulting in only marginal profits for most architectures.
Wenhao Sun +5 more
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The sparse array elements selection in sparse imaging of circular-array photoacoustic tomography
Journal of Innovative Optical Health Sciences, 2022 Photoacoustic imaging (PAI) has been developed, and photoacoustic computed tomography (PACT) is widely used for in vivo tissue and mouse imaging. Simulated annealing (SA) algorithm solves optimization problems, and compressed sensing (CS) recovers sparse signals from undersampled measurements. We aim to develop an advanced sparse imaging framework for
Zezheng Qin +4 more
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Electronics Letters, 2021 When there is the coexistence of uncorrelated and coherent signals in sparse arrays, the conventional algorithms using coarray are fail. In order to solve this problem, the letter proposes a novel method based on compressed sensing.
Peng Han +4 more
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Sparse Billboard and T-Shaped Arrays for Two-Dimensional Direction of Arrival Estimation
IEEE Open Journal of Signal Processing, 2023 In two-dimensional direction of arrival (2D-DOA) estimation, planar arrays can estimate the elevation and azimuth angles simultaneously. However, many planar array topologies such as billboard, L-shaped, T-shaped, and 2D nested arrays suffer from mutual ...
Saleh A. Alawsh +4 more
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Evaluating Spatial Resolution and Channel Capacity of Sparse Cylindrical Arrays for Massive MIMO
IEEE Access, 2017 How to design antenna arrays plays an important role in wireless communications, especially when there are hundreds of antennas. In massive multiple-input and multiple-output (MIMO), if the number of antennas and RF chains are increasing, the channel ...
Na Wu, Fangqi Zhu, Qilian Liang
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