Results 11 to 20 of about 103,159 (268)
Spiderweb Array: A Sparse Spin-Qubit Array
Physical Review Applied, 2022 19 pages, 16 ...
Jelmer M. Boter +10 more
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Detecting novel genes with sparse arrays. [PDF]
Gene, 2010 Species-specific genes play an important role in defining the phenotype of an organism. However, current gene prediction methods can only efficiently find genes that share features such as sequence similarity or general sequence characteristics with previously known genes.
Arvas M +14 more
europepmc +4 more sources
Random SBT Precoding for Angle Estimation of mmWave Massive MIMO Systems Using Sparse Arrays Spacing
IEEE Access, 2020 In this article, we consider the estimation of angle of arrival (AoA) and angle of departure (AoD) for mmWave MIMO channels. For mmWave systems, there is typically a large number of antennas but limited radio frequency (RF) chains.
Yuan-Pei Lin, Ting-Ming Yang
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Thinned coprime arrays for DOA estimation [PDF]
, 2017 Sparse arrays can generate a larger aperture than traditional uniform linear arrays (ULA) and offer enhanced degrees-of-freedom (DOFs) which can be exploited in both beamforming and direction-of-arrival (DOA) estimation. One class of sparse arrays is the
grant +5 more
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Synthesis of sparse planar arrays
Electronics Letters, 1997 A synthesis method is proposed that is aimed at designing a planar, sparse, and aperiodic array to be used in a beamforming processor. This method minimises the number of elements able to generate a beam pattern that fulfils various a priori fixed constraints. The obtained results are better than those proposed in related literature.
TRUCCO, ANDREA, E. OMODEI, P. REPETTO
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Sparse Convolutional Array for DOA Estimation
EURASIP Journal on Advances in Signal Processing, 2022 Abstract Array signal processing plays an important role in many areas. Besides the Uniform Linear Array, their are many sparse array that have been proposed, for example, Minimum-redundancy array, Co-prime array, nested array, etc. However, most of the array structures have certain disadvantages.
Zikai Wang +4 more
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Super Nested Arrays: Sparse arrays with Less Mutual Coupling than Nested Arrays [PDF]
, 2016 In array processing, mutual coupling between sensors has an adverse effect on the estimation of parameters (e.g., DOA). Sparse arrays, such as nested arrays, coprime arrays, and minimum redundancy arrays (MRAs), have reduced mutual coupling compared to ...
Liu, Chun-Lin, Vaidyanathan, P. P.
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IEEE Access, 2021 Minimum redundancy array (MRA) has the maximum aperture with continuous difference co-array among various sparse arrays with same number of physical sensors, but it is hard to calculate the sensor position of MRA and realize array design by using MRA. To
Geng 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 signals from undersampled measurements. We aim to develop an advanced sparse imaging framework for
Zezheng Qin +4 more
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Sparse Rectangular and Spiral Array Designs for 3D Medical Ultrasound Imaging
Sensors, 2019 In three-dimensional (3D) medical ultrasound imaging with two-dimensional (2D) arrays, sparse 2D arrays have been studied to reduce the number of active channels.
Hansol Yoon, Tai-Kyong Song
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