Results 21 to 30 of about 415,074 (257)
Reduced‐dimension MVDR beamformer based on sub‐array optimization
IET Communications, 2022 A reduced‐dimension minimum variance distortionless response based on sub‐array optimization beamformer (SAMVDR) is proposed for large array systems or some hardware performance constrained scenarios.
Tuanning Liu +3 more
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Thermodynamics at microscales： 3D→2D, 1D and 0D
Green Energy & Environment, 2020 Today, the laws of traditional thermodynamics are facing challenges when science is growing rapidly toward the microscale-world, even quantum hypothesis.
Kun Dong, Feng Huo, Suojiang Zhang
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Reduced density matrix approach to ultracold few-fermion systems in one dimension
New Journal of Physics, 2022 The variational determination of the two-fermion reduced density matrix (2-RDM) is described for harmonically trapped, ultracold few-fermion systems in one dimension with equal spin populations.
Mitchell J Knight +2 more
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Multiscale fractal dimension analysis of a reduced order model of coupled ocean–atmosphere dynamics [PDF]
Earth System Dynamics, 2021 Atmosphere and ocean dynamics display many complex features and are characterized by a wide variety of processes and couplings across different timescales.
T. Alberti +3 more
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IEEE Access, 2017 An efficient and training-sample-reducing space-time adaptive processing (STAP) algorithm based on sparse representation for ground clutter suppression in airborne radar is proposed in this paper. First of all, the principle and problems of sample matrix
Yiduo Guo, Guisheng Liao, Weike Feng
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A Fiber Nonlinearity Compensation Scheme With Complex-Valued Dimension-Reduced Neural Network
IEEE Photonics Journal, 2021 A fiber nonlinearity compensation scheme based on a complex-valued dimension-reduced neural network is proposed. The proposed scheme performs all calculations in complex values and employs a dimension-reduced triplet feature vector to reduce the size of ...
Pinjing He +6 more
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REDUCED-DIMENSION CLUSTERING FOR VEGETATION SEGMENTATION
Transactions of the ASAE, 2004 Segmentation of vegetation is a critical step in using machine vision for field automation tasks. A new method called reduced-dimensionclustering (RDC) was developed based on theoretical considerations about the color distribution of field images. RDC performed unsupervised classification of pixels in field images into vegetation and background classes.
Nettleton, Dan +3 more
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Физика волновых процессов и радиотехнические системы, 2022 In this paper, we propose a method for reducing the energy loss of photosensitive structures based on nanocrystalline silicon using passivating coatings of dysprosium fluoride.
Natalia A. Poluektova +5 more
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Reduced-Dimension Wiener Filter Based on Perpendicular Partition
IEEE Access, 2019 This paper addresses the reduced-dimension Wiener filter based on perpendicular partition. Two algorithms, i.e., cyclic per-weight (CPW) and batch CPW (BCPW) are presented, which can efficiently perform reduced-dimension adaptive beamforming.
Tuanning Liu +2 more
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Focus on Spintronics in Reduced Dimensions
New Journal of Physics, 2007 In the past ten years or so 'Spintronics' has evolved into a central part of solid state physics that addresses the intimate relation of electron charge and spin transport. To date, it is a huge field covering topics that range from applied micromagnetics to quantum computing.
Gerrit E W Bauer, Laurens W Molenkamp
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