Results 1 to 10 of about 52,671 (258)
Ultrasonic Phased Array Sparse-TFM Imaging Based on Sparse Array Optimization and New Edge-Directed Interpolation [PDF]
Sensors, 2018 The ultrasonic phased array total focusing method (TFM) has the advantages of full-range dynamic focusing and high imaging resolution, but the problem of long imaging time limits its practically industrial applications.
Hongwei Hu +3 more
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Deep learning assisted sparse array ultrasound imaging. [PDF]
PLoS ONE, 2023 This study aims to restore grating lobe artifacts and improve the image resolution of sparse array ultrasonography via a deep learning predictive model.
Baiyan Qi +8 more
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Sparse convolutional array for DOA estimation
EURASIP Journal on Advances in Signal Processing, 2022 Array signal processing plays an important role in many areas. Besides the Uniform Linear Array, there are many sparse array that have been proposed, for example, Minimum-redundancy array, Co-prime array, nested array, etc.
Zikai Wang +4 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
Zezheng Qin +4 more
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Compilation of sparse array programming models [PDF]
Proceedings of the ACM on Programming Languages, 2021 This paper shows how to compile sparse array programming languages. A sparse array programming language is an array programming language that supports element-wise application, reduction, and broadcasting of arbitrary functions over dense and sparse arrays with any fill value.
Olivia Hsu +2 more
exaly +2 more sources
An L-Shaped Three-Level and Single Common Element Sparse Sensor Array for 2-D DOA Estimation
Sensors, 2023 The degree of freedom (DOF) is an important performance metric for evaluating the design of a sparse array structure. Designing novel sparse arrays with higher degrees of freedom, while ensuring that the array structure can be mathematically represented,
Bo Du +4 more
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Sparse Array Mutual Coupling Reduction
IEEE Open Journal of Antennas and PropagationThis paper provides a concise overview of recent developments in sparse antenna arrays, with a specific focus on techniques for reducing mutual coupling.
C. Larmour +3 more
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Research Progress and Prospect of Sparse Diversely Polarized Array Design
Leida xuebao, 2023 As compared with sparse scalar arrays and uniform diversely polarized arrays, sparse diversely polarized arrays show respectively advantages of possessing the ability of sensing the polarization state of source signals, avoiding polarization mismatch and
Yaxing YUE +4 more
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Spiderweb Array: A Sparse Spin-Qubit Array
Physical Review Applied, 2022 19 pages, 16 ...
Jelmer M. Boter +10 more
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ULA Fitting for Sparse Array Design [PDF]
IEEE Transactions on Signal Processing, 2021 Sparse array (SA) geometries, such as coprime and nested arrays, can be regarded as a concatenation of two uniform linear arrays (ULAs). Such arrays lead to a significant increase of the number of degrees of freedom (DOF) when the second-order information is utilized, i.e., they provide long virtual difference coarray (DCA).
Vorobyov, Sergiy A. +3 more
openaire +2 more sources