Results 81 to 90 of about 13,013 (218)
A combined BP‐MF algorithm for wideband off‐grid DOA estimation with DP prior
Direction‐of‐arrival (DOA) estimation based on sparse Bayesian learning (SBL) framework has attracted extensive attention. The accuracy of on‐grid DOA estimation is restricted by the prescribed grid, while off‐grid approaches resolves the problem of grid
Mengge Li +3 more
doaj +1 more source
Abstract Objective This study evaluates the interobserver reliability (IR) and diagnostic accuracy of home video in distinguishing sleep‐related hypermotor epilepsy (SHE) from disorders of arousal (DoA) among neurologists with varying levels of expertise.
Laura Licchetta +11 more
wiley +1 more source
Novel two-dimensional DOA estimation with L-shaped array
Two-dimensional (2D) direction-of-arrival (DOA) estimation has played an important role in array signal processing. In this article, we address a problem of bind 2D-DOA estimation with L-shaped array.
Xiaofei Zhang, Jianfeng Li, Lingyun Xu
doaj
Enhanced off-grid DOA estimation by corrected power Bayesian inference using difference coarray
Sparse Bayesian inference for on-grid direction-of-arrival (DOA) estimation using difference coarray was investigated in the authors’ previous work to estimate more signal sources than the number of physical antenna elements. Sparse Bayesian inference is
Yanan Ma, Xianbin Cao, Xiangrong Wang
doaj +1 more source
Unraveling the Phenomenon of Supply‐Demand Feedback in Agricultural Water Interventions
Abstract The Agricultural water interventions can trigger human‐water feedback, including unintended supply demand feedback—where increased water availability drives greater water use. In the Kamadhiya catchment, India, the introduction of check dams (CDs) led to a shift toward more water‐intensive crops like cotton and wheat. This study formulates and
Mohammad Faiz Alam +4 more
wiley +1 more source
Direction-of-Arrival Estimation of Virtual Array Signals Based on Doppler Effect
The estimation accuracy of direction-of-departure (DOD) and direction-of-arrival (DOA) is reduced because of Doppler shifts caused by the high-speed moving sources.
Feng Zhao, Xia Hao, Hongbin Chen
doaj +1 more source
A Sum-of-Squares and Semidefinite Programming Approach for Maximum Likelihood DOA Estimation
Direction of arrival (DOA) estimation using a uniform linear array (ULA) is a classical problem in array signal processing. In this paper, we focus on DOA estimation based on the maximum likelihood (ML) criterion, transform the estimation problem into a ...
Shu Cai, Quan Zhou, Hongbo Zhu
doaj +1 more source
Gridless Two-dimensional DOA Estimation With L-shaped Array Based on the Cross-covariance Matrix
The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution.
Wu, Xiaohuan, Yan, Jun, Zhu, Wei-Ping
core +1 more source
Studying the spatial ecology of ecologically relevant species supports the development of effective conservation strategies. Recent technological advancements in remote tracking methods now enable researchers to study large flower‐visiting insects and important pollinators, such as carpenter bees.
Sophie Kratschmer +12 more
wiley +1 more source
Polynomial Manifold Interpolation for Direction Finding in the Presence of Mutual Coupling
Direction-of-arrival (DOA) estimation in the presence of mutual coupling among the antennas is an important problem in direction finding systems. To address the mutual coupling issue, a polynomial manifold interpolation approach is proposed in this paper.
Hongtao Duan +4 more
doaj +1 more source

