Results 71 to 80 of about 84,618 (266)
Sparse-Grid Gaussian Kernel Quadrature Kalman Filter for Nonlinear State Estimation
AerospaceNonlinear state estimation plays an important role in aerospace sensing applications, where estimation accuracy must be balanced against computational efficiency.
Yijie Zhao +5 more
doaj +1 more source
A Block Alternating Optimization Method for Direction-of-Arrival Estimation With Nested Array
IEEE Access, 2019 In this paper, direction-of-arrival estimation using nested array is studied in the framework of sparse signal representation. With the vectorization operator, a new real-valued non-negative sparse signal recovery model, which has a wider virtual array ...
Yunmei Shi +3 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn +2 more
wiley +1 more source
Gridless DOA Estimation with Extended Array Aperture in Automotive Radar Applications
Remote SensingMillimeter-wave automotive radar has become an essential tool for autonomous driving, providing reliable sensing capabilities under various environmental conditions.
Pengyu Jiang +4 more
doaj +1 more source
IEEE Access, 2018 In this paper, we propose a novel sparse signal representation (SSR)-based algorithm called the $\ell _{1}$ -PSRCM with cocentered orthogonal loop and dipole (COLD) array to estimate two-dimensional (2D) direction of arrival (DOA) and polarization ...
Weijian Si, Yan Wang, Chunjie Zhang
doaj +1 more source
An efficient numerical method on modified space-time sparse grid for time-fractional diffusion equation with nonsmooth data. [PDF]
Numer Algorithms, 2023 Zhu BY, Xiao AG, Li XY.
europepmc +1 more source
Advanced Robotics Research, EarlyView.Visual teach‐and‐repeat (VTR) navigation allows robots to learn and follow routes without building a full metric map. We show that navigation accuracy for VTR can be improved by integrating a topological map with error‐drift correction based on stereo vision.
Fuhai Ling, Ze Huang, Tony J. Prescott
wiley +1 more source
A Study on Flow-Induced Noise Simulation Using SUBOFF ModelBased on Bayesian Sparse Grids
水下无人系统学报This paper proposed a Bayesian-based sparse grid correction method to address the degradation in flow-induced noise prediction accuracy arising from mismatched spatial scales between finite element model grid dimensions and turbulent boundary layer ...
Jiayu LIU +6 more
doaj +1 more source
Off-Grid DOA Estimation for Wideband LFM Signals in FRFT Domain Using the Sensor Arrays
IEEE Access, 2019 For the direction-of-arrival (DOA) estimators based on sparse signal representation, the feasibility and precision are greatly restricted by the inherent limitation of the predefined spatial discrete grids.
Xiuhong Wang +3 more
doaj +1 more source
Advanced Robotics Research, EarlyView.This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source