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RIS-Assisted MIMO Channel Modeling with Spatially Consistent Sparsified Properties
Reconfigurable Intelligent Surface is a planar array that implements partially controllable propagation environment concept. RIS quickly gained...
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Channel and temporal-frequency attention UNet for monaural speech enhancement
The presence of noise and reverberation significantly impedes speech clarity and intelligibility. To mitigate these effects, numerous deep...
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Radar-Visual Fusion Network Based on Channel Attention
As research on perception deepens, the challenges of perception under poor line-of-sight conditions are increasing. It is difficult to complete tasks...
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A novel spectrogram visual security encryption algorithm based on block compressed sensing and five-dimensional chaotic system
Based on block compressed sensing theory, combined with a five-dimensional chaotic system, we propose and analyze a novel spectrogram visual security...
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Covert UAV Communication by Exploiting Imperfect Cancellation Under Channel Uncertainty
Covert communication has emerged as a promising scheme to protect the communication process from being detected by illegal users with arbitrarily...
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Quantum convolutional neural networks for multi-channel supervised learning
As the rapidly evolving field of machine learning continues to produce incredibly useful tools and models, the potential for quantum computing to...
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Numerical Study of Load Eccentricity Effects on Block Shear Rupture of Welded Gusset Plates
Block shear rupture is a potential failure mode in welded steel gusset plates. The research on this failure mode in welded connections is scarce, and...
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Intelligent block copolymer self-assembly towards IoT hardware components
The Internet of Things (IoT) has emerged as the principal element for hyperconnectivity in the era of the fourth industrial revolution, in which...
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SupportNet: a Deep Learning Based Channel Equalization Network for Multi-type Multipath Fading
High-speed moving receivers generate Doppler shift superimposed on multipath effects to produce serious self-interference in the signal, direct...
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Multi-channel inductive power transfer system based on ISOP topology
With the expansion of mid-voltage DC distribution, inductive power transfer (IPT) systems supplied directly by DC distribution with a high input...
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Tomographic flow measurements over additively manufactured cooling channel roughness
Additive manufacturing (AM) offers many potential advantages to constructing gas turbine components such as allowing for more complex geometry in...
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Performance Evaluation of Wi-Fi 6 Using Different Channel Estimation Techniques
Wi-Fi 6 (also known as 802.11ax) is the new generation of Wi-Fi technology with a new focus on high efficiency, bandwidth of 2.4 GHz, maximum speed...
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Comparison of Deep Learning-Based Channel Estimator and Classical Estimators in VANET
A network-based deep learning (DL) channel estimation algorithm is proposed for selective fading channels using a deep neural network (DNN). The DNN...
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ECG Signal Delineation Based on Multi-scale Channel Attention Convolutional Neural Network
Accurate delineation of ECG signals is of paramount importance for cardiovascular disease diagnosis. Existing machine learning and deep learning...
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Development of a Multifrequency Bioimpedance Measurement Channel Using STM32
Different tissue and bodies present different impedance values depending on several parameters such as health, composition, and structure. Among the...
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Bayesian Channel Estimation Under Dual Wideband Effects for THz Massive MIMO Communications
Terahertz (THz) communication, with its ultra-wide bandwidth of tens of GHz, holds promise for 6th generation networks. However, employing large...
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Real-Time Grasp Detection Using Efficient Channel Attention
To realize the intelligence of robots, robots need to have the ability to grasp unknown objects. In this paper, a novel grasp detection network is...
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Characteristics and Evolution of Miocene Gravity-Flow Channels in Block A, Lower Congo-Congo Fan Basin
Gravity-flow channel is one of the most important reservoir units in deep-water sedimentary systems. Strengthening research on gravity-flow channels...
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No-reference image quality assessment with multi-scale weighted residuals and channel attention mechanism
With the rapid development of deep learning, no-reference image quality assessment (NR-IQA) based on convolutional neural network (CNN) plays an...
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Experimental Delay Tests in Causal THz Channel Model
In traditional radio propagation, the arrival time of the signal at the receiver from the transmitter is the propagation delay, which is given by the...
