Results 21 to 30 of about 624,379 (287)
Filtering Random Graph Processes Over Random Time-Varying Graphs [PDF]
, 2017 Graph filters play a key role in processing the graph spectra of signals supported on the vertices of a graph. However, despite their widespread use, graph filters have been analyzed only in the deterministic setting, ignoring the impact of stochastic ...
Isufi, Elvin +3 more
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Spatio‐temporal signal recovery under diffusion‐induced smoothness and temporal correlation priors
IET Signal Processing, 2022 In this work, the signal recovery problem regarding incomplete and noisy spatio‐temporal signals is studied. A spatio‐temporal signal is considered as a time‐varying graph signal and a diffusion‐induced first‐order Markov signal model is developed to ...
Shiyu Zhai +3 more
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Remote Sensing, 2022 Target position estimation is one of the important research directions in array signal processing. In recent years, the research of target azimuth estimation based on graph signal processing (GSP) has sprung up, which provides new ideas for the Direction
Kefei Liao +3 more
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A graph-based narrowband matched-field source localization method [PDF]
JASA Express Letters, 2021 Matched field processing (MFP) has been regarded as one of the most successful acoustical methods for positioning underwater sources. In this paper, the narrowband MFP method is combined with a recently developed framework—the graph signal processing ...
Peng Xiao, Jianmin Yang
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Graph Regularization Methods in Soft Detector Fusion
IEEE Access, 2023 This paper presents a theoretical derivation of two new graph-based regularization methods for fusing the individual results of multiple detectors (two-class classifiers).
Addisson Salazar +3 more
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Localized Fourier analysis for graph signal processing [PDF]
Applied and Computational Harmonic Analysis, 2022 We propose a new point of view in the study of Fourier analysis on graphs, taking advantage of localization in the Fourier domain. For a signal $f$ on vertices of a weighted graph $\mathcal{G}$ with Laplacian matrix $\mathcal{L}$, standard Fourier analysis of $f$ relies on the study of functions $g(\mathcal{L})f$ for some filters $g$ on $I_\mathcal{L}$,
Basile de Loynes +2 more
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Multi-level Pipeline Scheduling Algorithm in Heterogeneous Signal Processing Platform [PDF]
Jisuanji gongcheng, 2018 The existing real-time task scheduling algorithm do not consider the difference of node computing power in system heterogeneity,which leads to the imbalance of task partition.Therefore,according to the characteristics of real-time task in the ...
YANG Pingping,YUE Chunsheng,HU Zeming
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Tracking Time-Vertex Propagation using Dynamic Graph Wavelets [PDF]
, 2016 Graph Signal Processing generalizes classical signal processing to signal or data indexed by the vertices of a weighted graph. So far, the research efforts have been focused on static graph signals.
Grassi, Francesco +2 more
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Undirected Graphs: Is the Shift-Enabled Condition Trivial or Necessary?
IEEE Access, 2021 With the growing application of undirected graphs for signal/image processing on graphs and distributed machine learning, we demonstrate that the shift-enabled condition is as necessary for undirected graphs as it is for directed graphs.
Liyan Chen +4 more
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Discrete Signal Processing on Graphs [PDF]
IEEE Transactions on Signal Processing, 2013 In social settings, individuals interact through webs of relationships. Each individual is a node in a complex network (or graph) of interdependencies and generates data, lots of data. We label the data by its source, or formally stated, we index the data by the nodes of the graph.
Sandryhaila, Aliaksei, Moura, Jose M. F.
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