Results 91 to 100 of about 2,236 (212)

Electromagnetic Perception With Artificial Intelligence‐Empowered Programable Metasurface: From Data‐Driven Imaging to Semantic Sensing

open access: yesAdvanced Photonics Research, Volume 7, Issue 4, April 2026.
This review chronicles the evolution of intelligent electromagnetic (EM) perception systems empowered by metasurfaces and artificial intelligence. The progression from data‐driven imaging with implicit priors to semantic sensing with explicit priors is systematically reviewed.
Xingrui Zhou   +5 more
wiley   +1 more source

An adaptive stereo basis method for convolutive blind audio source separation

open access: yes, 2008
NOTICE: this is the author’s version of a work that was accepted for publication in Neurocomputing. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may ...
Vincent, E.   +9 more
core   +1 more source

Dimension-Deficient Channel Estimation of Hybrid Beamforming Based on Compressive Sensing

open access: yesIEEE Access, 2019
Due to high hardware costs for digital beamforming, hybrid beamforming (HBF) is widely employed in millimeter-wave (mmWave) communications systems. However, the number of radio frequency chains in the analog part of HBF is far less than that of antennas,
Yu Xiao, Yafeng Wang, Wei Xiang
doaj   +1 more source

Diffractive Optical Neural Networks: Pathways Toward Intelligent and Scalable Photonic Computing

open access: yesNanophotonics, Volume 15, Issue 8, 24 April 2026.
Diffractive optical neural networks (DONNs) are emerging as a transformative paradigm for photonic computing, offering massive parallelism, ultrafast inference, and passive low‐power operation. This review traces the evolution of DONNs from free‐space to on‐chip implementations, highlights advances in reconfigurability and multidimensional modulation ...
Yufei Wang   +5 more
wiley   +1 more source

Kernel-based nonlinear beamforming construction using orthogonal forward selection with Fisher ratio class separability measure

open access: yes, 2004
This letter shows that the wireless communication system capacity is greatly enhanced by employing nonlinear beamforming and the optimal Bayesian beamformer outperforms the standard linear beamformer significantly in terms of a reduced bit error rate, at
Wolfgang, A., Hanzo, L., Chen, S.
core  

Fine‐Scale Segmentation and Spatiotemporal Variability of the 2010 Mw 8.8 Maule Aftershock Sequence Revealed by a Deep‐Learning‐Based Earthquake Catalog

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 4, April 2026.
Abstract We re‐examine the aftershock sequence of the Mw 8.8 Maule earthquake in south‐central Chile to understand how seismicity, magnitude‐frequency distribution, and fault structure vary along the rupture zone. Using the International Maule Aftershock Deployment (IMAD) data set, we analyze 10 months of continuous data from approximately 156 ...
Rodrigo Flores‐Allende   +5 more
wiley   +1 more source

Sparse-periodic hybrid array beamformer

open access: yesIET Radar, Sonar & Navigation, 2007
A novel approach to the design of spatial arrays is presented. The hybrid array beamformer consists of a sparse array in which some of the elements are arranged periodically, thus creating a periodic sub-array. The outputs of the sparse and periodic arrays are then fused to create a beampattern with good resolution and low peak sidelobe levels.
M.J. Wilson, R. McHugh
openaire   +1 more source

Impact of a purina fractal array geometry on beamforming performance and complexity

open access: yes, 2013
This paper investigates the possible benefits of using a Purina fractal array for beamforming, since this particular fractal has recently been suggested as the flight formation for a fractionated space craft.
Weiss, Stephan   +6 more
core  

Digital Beamforming on Receive: Techniques and Optimization Strategies for High-Resolution Wide-Swath SAR Imaging

open access: yes, 2009
Synthetic Aperture Radar (SAR) is a well-proven imaging technique for remote sensing of the earth. However, conventional SAR systems are not capable to fulfill the increasing demands for im-proved spatial resolution and wider swath coverage.
Alberto Moreira   +5 more
core  

Statistical group sparse beamforming for green Cloud-RAN via large system analysis

open access: yes, 2016
In this paper, we develop a statistical group sparse beamforming framework to minimize the network power consumption for green cloud radio access networks (Cloud-RANs).
Yuanming Shi   +5 more
core   +1 more source

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