Results 81 to 90 of about 12,985 (190)

Off-grid Direction of Arrival Estimation Using Sparse Bayesian Inference

open access: yes, 2012
Direction of arrival (DOA) estimation is a classical problem in signal processing with many practical applications. Its research has recently been advanced owing to the development of methods based on sparse signal reconstruction.
Xie, Lihua, Yang, Zai, Zhang, Cishen
core   +1 more source

Polynomial Manifold Interpolation for Direction Finding in the Presence of Mutual Coupling

open access: yesIEEE Access, 2019
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

Reliability and diagnostic accuracy of home video recording in differentiating sleep‐related hypermotor epilepsy from disorders of arousal

open access: yesEpilepsia, Volume 66, Issue 11, Page 4343-4353, November 2025.
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

Cramer-Rao Bound for Sparse Signals Fitting the Low-Rank Model with Small Number of Parameters

open access: yes, 2015
In this paper, we consider signals with a low-rank covariance matrix which reside in a low-dimensional subspace and can be written in terms of a finite (small) number of parameters. Although such signals do not necessarily have a sparse representation in
Shaghaghi, Mahdi, Vorobyov, Sergiy A.
core   +1 more source

Unraveling the Phenomenon of Supply‐Demand Feedback in Agricultural Water Interventions

open access: yesEarth's Future, Volume 13, Issue 10, October 2025.
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

Adaptive channel selection for DOA estimation in MIMO radar

open access: yes, 2017
We present adaptive strategies for antenna selection for Direction of Arrival (DoA) estimation of a far-field source using TDM MIMO radar with linear arrays. Our treatment is formulated within a general adaptive sensing framework that uses one-step ahead
Brüggenwirth, Stefan   +3 more
core   +1 more source

Near-Field Monopulse DoA Estimation for Angle-Sensitive Proximity WiFi Readers

open access: yesIEEE Access, 2019
We study the effect of close-proximity in the estimation of the Direction-of-Arrival (DoA) using a monopulse antenna array system, with application to angle-sensitive proximity WiFi readers.
Jose Antonio Lopez-Pastor   +4 more
doaj   +1 more source

Quantifying and Reducing the DOA Estimation Error Resulting from Antenna Pattern Deviation for Direction-Finding HF Radar

open access: yesRemote Sensing, 2017
High-frequency (HF) radars are routinely used for remotely sensing ocean surface currents. However, the performance of the most widely used direction-finding HF radar is degraded due to the effect of the inevitable deviations of actual antenna pattern on
Yeping Lai   +3 more
doaj   +1 more source

Effects of reference sound speed on underwater acoustic direction-of-arrival estimation with horizontal plane array [PDF]

open access: yesJASA Express Letters
Direction-of-arrival (DOA) estimation of an underwater acoustic target is usually dependent on the selection of reference sound speed. For a horizontal line array, severe error of DOA estimation is induced when reference sound speed diverges from phase ...
Feitong Chen   +6 more
doaj   +1 more source

Multiple and single snapshot compressive beamforming

open access: yes, 2015
For a sound field observed on a sensor array, compressive sensing (CS) reconstructs the direction-of-arrival (DOA) of multiple sources using a sparsity constraint.
Gerstoft, Peter   +2 more
core   +2 more sources

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