Results 11 to 20 of about 83,735 (217)
Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem
The numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper.
Xuesong Chen, Heng Mai, Lili Zhang
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An Efficient and Fast Sparse Grid Algorithm for High-Dimensional Numerical Integration
This paper is concerned with developing an efficient numerical algorithm for the fast implementation of the sparse grid method for computing the d-dimensional integral of a given function.
Huicong Zhong, Xiaobing Feng
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In recent years, the development of compressed sensing (CS) and array signal processing provides us with a broader perspective of 3D imaging. The CS-based imaging algorithms have a better performance than traditional methods.
Zekun Jiao +4 more
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A Novel Sparse Bayesian Space-Time Adaptive Processing Algorithm to Mitigate Off-Grid Effects
Space-time adaptive processing (STAP) algorithms based on sparse recovery (SR) have been researched because of their low requirement of training snapshots.
Cheng Liu +3 more
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Off-Grid DOA Estimation Using Alternating Block Coordinate Descent in Compressed Sensing
This paper presents a novel off-grid direction of arrival (DOA) estimation method to achieve the superior performance in compressed sensing (CS), in which DOA estimation problem is cast as a sparse reconstruction.
Weijian Si, Xinggen Qu, Zhiyu Qu
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Diagnosis Method for Sparse Optimization Based on Multi-step Grid Search of Bearing Coupling Faults
Under the unbalance-bearing coupling fault of the rotor system, the unbalance fault features and bearing faults modulate each other, and the weak fault features are easily submerged by the strong fault features and strong noise components.
Gong Xiaoyun +5 more
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Direction-of-arrival (DOA) estimation is a fundamental problem in many signal processing. Recently, a variety of sparsity-aware methods have been proposed for DOA estimation.
Xiaowei Zhang +3 more
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A Boolean sum interpolation for multivariate functions of bounded variation
This paper deals with the approximation error of trigonometric interpolation for multivariate functions of bounded variation in the sense of Hardy-Krause.
Jürgen Prestin, Yevgeniya V. Semenova
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Generating Sparse Wire-Grid Antennas Using Maximum Current-Based Optimal Current Grid Approximation
The rapid advancement of telecommunication systems demands antennas with reduced mass and size. Wire-grid structures serve as effective alternatives to traditional solid metal antennas by significantly reducing their mass.
Manh Tuan Nguyen +2 more
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Development of Reduced Order Model for Steady State Flow Field in Two-dimensional Lower Plenum
In the field of reactor thermal-hydraulics, system thermal-hydraulic codes have been widely employed to quickly determine the global response characteristics of the primary system.
SHANG He1, PENG Minjun1, 2, XIA Genglei1, 2, , ZHANG Shiqi1, ZHU Shijie1
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