Results 131 to 140 of about 2,822,972 (301)

Adaptive Beamforming Approaches to Improve Passive Radar Performance in Sea and Wind Farms' Clutter. [PDF]

open access: yesSensors (Basel), 2022
Rosado-Sanz J   +3 more
europepmc   +1 more source

Switchable deep beamformer for high-quality and real-time passive acoustic mapping [PDF]

open access: yesarXiv
Passive acoustic mapping (PAM) is a promising tool for monitoring acoustic cavitation activities in the applications of ultrasound therapy. Data-adaptive beamformers for PAM have better image quality compared to the time exposure acoustics (TEA) algorithms. However, the computational cost of data-adaptive beamformers is considerably expensive.
arxiv  

Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound [PDF]

open access: yesarXiv, 2019
In ultrasound (US) imaging, various types of adaptive beamforming techniques have been investigated to improve the resolution and contrast-to-noise ratio of the delay and sum (DAS) beamformers. Unfortunately, the performance of these adaptive beamforming approaches degrade when the underlying model is not sufficiently accurate and the number of ...
arxiv  

Online Adaptive Real-Time Beamforming Design for Dynamic Environments in Cell-Free Systems [PDF]

open access: yesarXiv
In this paper, we consider real-time beamforming design for dynamic wireless environments with varying channels and different numbers of access points (APs) and users in cell-free systems. Specifically, a sum-rate maximization optimization problem is formulated for the beamforming design in dynamic wireless environments of cell-free systems.
arxiv  

Subaperture Processing-Based Adaptive Beamforming for Photoacoustic Imaging. [PDF]

open access: yesIEEE Trans Ultrason Ferroelectr Freq Control, 2021
Mukaddim RA, Ahmed R, Varghese T.
europepmc   +1 more source

Robust adaptive beamforming in impulsive noise environments

open access: yes, 2019
Adaptive beamforming is one of the most important parts of a smart antenna. The most existing adaptive algorithms are based on the second-order-moment of the error signal like least-mean-square and recursive-least-square (RLS) algorithms.
M. Hajiabadi   +2 more
semanticscholar   +1 more source

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