Results 81 to 90 of about 31,026 (252)

Active coupling radar array design approach for direction-of-arrival estimation

open access: yesResults in Engineering
In this paper, space-constrained scenarios for radar arrays are investigated. To improve the performance of direction-of-arrival (DOA) estimation for both uniform linear and planar arrays, an innovative design approach for active coupling radar arrays is
Jingyu Cong   +3 more
doaj   +1 more source

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

Mechanophore‐Based Multichannel Colorimetric Force Sensors: Ultrasound‐Driven Stress and Strain Quantification

open access: yesAdvanced Science, EarlyView.
ABSTRACT Mechanophores with mechanochromic properties have attracted significant attention as force‐responsive materials for structural sensing. However, their applications remain mainly limited to qualitative force visualization, as direct and quantitative extraction of mechanical parameters such as stress and strain from mechanochromic responses has ...
Seungo Baek   +8 more
wiley   +1 more source

Compressive TDOA Estimation Method Based on Amplitude Phase Clustering in Time-Frequency Domain

open access: yesIET Signal Processing
In the field of signal processing, modulation signals, including phase shift keying (PSK) and quadrature amplitude modulation (QAM), can significantly enhance the signal-to-noise ratio (SNR) through aliasing transmission following clustering and sorting.
Yang Jiao   +4 more
doaj   +1 more source

High-Accuracy Radar Parameter Estimation Under Low SNR Environments

open access: yesIEEE Access
This paper proposes a high-accuracy radar parameter estimation method for extremely low signal-to-noise ratio (SNR) environments, integrating deep learning and connected component analysis (CCA). Accurate estimation of parameters such as time of arrival,
Jaehyeok Yoon   +3 more
doaj   +1 more source

Solution‐Processed Multi‐Junction Optoelectronic Synapses for Mode‐Switchable SWIR Neuromorphic Vision Sensing

open access: yesAdvanced Science, EarlyView.
A novel bias‐programmable shortwave infrared (SWIR) vision sensor is developed using multi‐junction colloidal quantum dots (QDs). Under varying applied voltage, the back‐to‐back rectifying junctions effectively tune trapping centers to switch the device between high‐speed photodetector and persistent synapse modes.
Zhuoyang He   +6 more
wiley   +1 more source

Research on accurate ranging of UWB under indoor environments

open access: yesTongxin xuebao, 2007
The accurate ranging ability of ultra wideband(UWB) signal under IEEE 802.15.4a indoor channel model was studied.An improved time-of-arrival(TOA) estimation algorithm which utilizes region search and threshold comparison was proposed.By statistical ...
WU Shao-hua, ZHANG Nai-tong
doaj   +2 more sources

Abstract Representation of Movement Parameters in Basal Ganglia Output

open access: yesAdvanced Science, EarlyView.
The basal ganglia output provides a scalable velocity/position signal across behavioral contexts, supporting the idea that these variables are represented in the brain as abstract entities rather than as fixed changes in joint angles or specific sets of body effectors.
Ana Silvia Báez‐Cordero   +3 more
wiley   +1 more source

Comprehensive Analysis of CNN-Based Models for SNR Estimation

open access: yesIEEE Access
Deep learning (DL) models offer a promising solution for Signal-to-Noise Ratio (SNR) estimation in wireless communication systems. Recently, regression-based DL approaches have been explored to overcome the limitations of classification-based methods ...
Abdullah Al Mahbub   +2 more
doaj   +1 more source

Longitudinal Multifrequency MR Elastography Reveals Biomechanical Signatures of Progression in a Translational Liver Tumor Model

open access: yesAdvanced Science, EarlyView.
Longitudinal multifrequency magnetic resonance elastography (mMRE) performed on a clinical 3 Tesla magnetic resonance imaging system reveals early biomechanical alterations during liver tumor progression in a translational VX2 model. Changes in tumor stiffness and viscosity precede diffusion‐related alterations and are associated with extracellular ...
Justus Ramtke   +20 more
wiley   +1 more source

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