Results 41 to 50 of about 163,050 (112)
Graph signal processing based pilot pattern design and channel estimation for OFDM system
物联网学报, 2022 Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed ...
Bin HE +3 more
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Joint Vertex-Time Filtering on Graphs With Random Node-Asynchronous Updates
IEEE Access, 2021 In graph signal processing signals are defined over a graph, and filters are designed to manipulate the variation of signals over the graph. On the other hand, time domain signal processing treats signals as time series, and digital filters are designed ...
Oguzhan Teke, Palghat P. Vaidyanathan
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Topological Signal Processing from Stereo Visual SLAM
SensorsTopological signal processing is emerging alongside Graph Signal Processing (GSP) in various applications, incorporating higher-order connectivity structures—such as faces—in addition to nodes and edges, for enriched connectivity modeling.
Eleonora Di Salvo +4 more
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From Time–Frequency to Vertex–Frequency and Back
Mathematics, 2021 The paper presents an analysis and overview of vertex–frequency analysis, an emerging area in graph signal processing. A strong formal link of this area to classical time–frequency analysis is provided.
Ljubiša Stanković +5 more
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Fast Spectral Approximation of Structured Graphs with Applications to Graph Filtering
Algorithms, 2020 To analyze and synthesize signals on networks or graphs, Fourier theory has been extended to irregular domains, leading to a so-called graph Fourier transform.
Mario Coutino +3 more
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pygrank: A Python package for graph node ranking
SoftwareX, 2022 We introduce pygrank, an open source Python package to define, run and evaluate node ranking algorithms. We provide object-oriented and extensively unit-tested algorithmic components, such as graph filters, post-processors, measures, benchmarks, and ...
Emmanouil Krasanakis +3 more
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Doppler Shift Estimation Method for Frequency Diverse Array Radar Based on Graph Signal Processing
Remote SensingIn 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 +5 more
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Graph Learning Based on Spatiotemporal Smoothness for Time-Varying Graph Signal
IEEE Access, 2019 Graph learning often boils down to uncovering the hidden structure of data, which has been applied in various fields such as biology, sociology, and environmental studies.
Yueliang Liu +4 more
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Learning of robust spectral graph dictionaries for distributed processing
EURASIP Journal on Advances in Signal Processing, 2018 We consider the problem of distributed representation of signals in sensor networks, where sensors exchange quantized information with their neighbors. The signals of interest are assumed to have a sparse representation with spectral graph dictionaries ...
Dorina Thanou, Pascal Frossard
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Recovery of traffic information through graph signal processing
EURASIP Journal on Advances in Signal ProcessingThe generation of data sets from traffic variables within the roads of a city is increasing due to the implementation of sensors, monitoring stations, or more elaborate systems, such as synchronised drones to record the dynamics of a city.
Rafael Alejandro Martínez Márquez +1 more
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