Results 71 to 80 of about 32,468 (150)

Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing

Remote Sensing
In this paper, a novel Doppler shift estimation method for frequency diverse array (FDA) radar based on graph signal processing (GSP) theory is proposed and investigated. First, a well-designed graph signal model for a monostatic linear FDA is formulated.
Ningbo Xie, Haijun Wang, Kefei Liao, Shan Ouyang, Hanbo Chen, Qinlin Li   +5 more
doaj   +1 more source

Reliability and limitations of Impact-Echo Method for Thickness Measurement of Orthotropic Composite Plates [PDF]

International Journal of Advanced Design and Manufacturing Technology, 2018
In this paper, an Impact-Echo method has been used to numerically simulate low velocity impact of a steel ball on laminated composite plates in order to measure the plate's thickness.
M. Amiri, M. Tabatabaee Ghomi, Gh. Liaghat   +2 more
doaj  

Angular Graph Fractional Fourier Transform: Theory and Application

CoRR
Graph spectral representations are fundamental in graph signal processing, offering a rigorous framework for analyzing and processing graph-structured data. The graph fractional Fourier transform (GFRFT) extends the classical graph Fourier transform (GFT) with a fractional-order parameter, enabling flexible spectral analysis while preserving ...
Feiyue Zhao, Yangfan He, Zhichao Zhang
openaire   +2 more sources

An Efficient High-Throughput FFT Architecture to Process Twin Real-Valued Data-Streams With Normal I/O Order

IEEE Access
This paper proposes an efficient pipelined modified MDC-based (Multipath Delay Commutator) radix-2 RFFT (Real-valued Fast Fourier Transform) architecture with high throughput.
Antony Xavier Glittas, K. K. Abdul Majeed, S. Pradeep, N. Nandakumar, U. S. Pranavu Atithya   +4 more
doaj   +1 more source

Student’s t-Kernel-Based Graph Signals Maximum Correntropy Unscented Kalman Filter Under Hybrid Cyberattacks

IET Signal Processing
The implementation of Kalman filter (KF) in tracking high-dimensional, strongly correlated graph structured data is often complex and unstable. Meanwhile, in practical applications, the system may be subject to interference from non-Gaussian noise and ...
Bingyu Yin, Xinmin Song
doaj   +1 more source

DyGAT-FTNet: A Dynamic Graph Attention Network for Multi-Sensor Fault Diagnosis and Time–Frequency Data Fusion

Sensors
Fault diagnosis in modern industrial and information systems is critical for ensuring equipment reliability and operational safety, but traditional methods have difficulty in effectively capturing spatiotemporal dependencies and fault-sensitive features ...
Hongjun Duan, Guorong Chen, Yuan Yu, Chonglin Du, Zhang Bao, Denglong Ma   +5 more
doaj   +1 more source

Dynamic Hypergraph Convolutional Networks for Hand Motion Gesture Sequence Recognition

Technologies
This paper introduces a novel approach to hand motion gesture recognition by integrating the Fourier transform with hypergraph convolutional networks (HGCNs).
Dong-Xing Jing, Kui Huang, Shi-Jian Liu, Zheng Zou, Chih-Yu Hsu   +4 more
doaj   +1 more source

SVD-Based Graph Fourier Transforms on Directed Product Graphs

IEEE Transactions on Signal and Information Processing over Networks, 2023
Cheng Cheng 0003, Yang Chen 0047, Yeon Ju Lee, Qiyu Sun   +3 more
openaire   +1 more source

DeepGFT: identifying spatial domains in spatial transcriptomics of complex and 3D tissue using deep learning and graph Fourier transform. [PDF]

Genome Biol
Sun S, Liu J, Li G, Liu B.
europepmc   +1 more source

A Mathematical Analysis of IPT-DMFT. [PDF]

Commun Math Phys
Cancès E, Kirsch A, Perrin-Roussel S.
europepmc   +1 more source