115 Result(s)
within
Engineering
Signal, Image and Speech Processing
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Article
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Article
IMG: Deep Representation Graph Learning for Anomaly Detection in Industrial Control System
Network flow anomaly detection plays a critical role in the Industrial Control System (ICS). As industrial informatization advances, ICS encounters numerous cybersecurity challenges. Recent approaches based on...
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Article
DIEET: Knowledge–Infused Event Tracking in Social Media based on Deep Learning
The rapid expansion of the mobile Internet has led to online social networks becoming an increasingly integral part of our daily lives, this offers a new perspective in the study of human behavior. Existing me...
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Determining the Number of Clusters in Clinical Response of TMS Treatment using Hyperdimensional Computing
This paper addresses clustering of clinical response of subjects with major depressive disorder (MDD) after they are treated with transcranial magnetic stimulation (TMS). Specifically, we present an approach t...
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A blockchain-based auditable deduplication scheme for multi-cloud storage
Cloud storage has attracted widespread attention due to its advantages such as convenience, low cost, and easy scalability. With the explosion of cloud data volumes, security and performance issues are becomin...
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A Lightweight Two-Factor Continuous Authentication Protocol for Agricultural IoT Devices
The rapid development of Internet of Things (IoT) technology has led to increased attention to its potential applications in agriculture. IoT-based agricultural applications are able to better monitor crops an...
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Design and modeling of film bulk acoustic resonator considering temperature compensation for 5G communication
The new generation of communication systems requires radio frequency (RF) filters with better performance indicators, and traditional RF filters can no longer satisfy the requirements of increasingly sophistic...
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Open AccessComprehensive analysis of aero-engine vibration signals based on wavelet transform method
A single type of signal processing means that it is difficult to analyze vibration signals comprehensively and effectively. By comprehensively using wavelet analysis techniques, a comprehensive and in-depth st...
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Blind Image Deblurring via Weighted Dark Channel Prior
Blind image deblurring is a challenging problem, which aims to estimate the blur kernel and recover the clear image from the given blurry image. A large number of image priors have been proposed to tackle this...
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Image Deconvolution Using Mixed-Order Salient Edge Selection
Salient edge selection is a crucial technique to warrant the success of image deblurring. Current edge-based methods mainly focus on the single salient edge without exploiting the rich structural information o...
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The Optimal Joint Time-Vertex Graph Filter Design: From Ordinary Graph Fourier Domains to Fractional Graph Fourier Domains
In this paper, we investigate the optimal joint time-vertex graph filter design, which aims to denoise time-varying graph signals. We first propose to design the optimal joint time-vertex ordinary Fourier (O-J...
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Open AccessFrequency estimation for underwater CW pulse by interpolation on fractional Fourier coefficients based on amplitude ratio method
Fast and accurate estimation of sinusoidal signals plays an important role in many fields like communications, radar, sonar, etc. In underwater signal processing applications, sinusoidal signals usually take t...
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A Neural Network-Based Harmonic Balance Technique for Analysis of Periodic Responses of Nonlinear Circuits
A neural network-based harmonic balance technique for the analysis of periodic responses of nonlinear circuits has been developed, which takes advantage of a special back propagation neural network to train th...
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Synchronization Stability Criteria for Lur’e Systems via Delay-Product-Type Functional Method
This paper investigates the \({{\varvec{H}}}_{\infty }\) H ...
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RTR-DPD: reweighted tikohonov regularization for blind deblurring via dual principles of discriminativeness
Blind deblurring has undergone rapid development since the variational Bayes method of Fergus et al. about 15 years ago. Nowadays, it is generally acknowledged in the statistical view that unnatural heavy-tail...
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Open AccessAn MMSE graph spectral magnitude estimator for speech signals residing on an undirected multiple graph
The paper uses the K-graphs learning method to construct weighted, connected, undirected multiple graphs, aiming to reveal intrinsic relationships of speech samples in the inter-frame and intra-frame. To benefit ...
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Open AccessSecure spatial modulation based on two-dimensional generalized weighted fractional Fourier transform encryption
In this paper, a two-dimensional generalized weighted fractional Fourier transform (2DGWFRFT) and constellation scrambling (CS)-based secure spatial modulation (SM) scheme, called 2DGWFRFT-CS-SM, is proposed t...
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Universal Graph Filter Design Based on Butterworth, Chebyshev, and Elliptic Functions
Graph filters are crucial tools in processing the spectrum of graph signals. In this paper, we propose to design universal IIR graph filters with low computational complexity by using three kinds of functions,...
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AIGCN: Attack Intention Detection for Power System Using Graph Convolutional Networks
Power systems have been attracting the attention of attackers because of its great value. Identifying attack intentions is essential for proactively blocking the intrusion into power information systems. In th...
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Research on Dual-Channel Nonlinear Acoustic Echo Cancellation in α-Stable Distributed Noise Environment
Compared with a single-channel echo cancellation, the spatial information of dual-channel echo cancellation enables the listener to obtain more potential information. This paper presents a dual-channel nonline...
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Open AccessPoint matching based on affine invariant centroid trees
Object detection can be formulated as a point matching problem when objects are modeled by point sets. Moments, which have been widely used for point matching, are limited to affine transformations as their su...
