Article Dans Une Revue IEEE Transactions on Systems, Man, and Cybernetics: Systems Année : 2024

Matched Filtering on Directed Graphs

Isidora Stanković
Miloš Brajović
Miloš Daković
Danilo Mandic
Ljubiša Stanković

Résumé

The matched filter is a crucial concept in both signal analysis and convolutional neural networks (CNNs). Previous work has addressed graph matched filtering principles for undirected graphs. This article expands upon the existing literature, by exploring matched filtering principles for signals on directed graphs. In such cases, the adjacency matrix is asymmetric, and commonly results in nonorthogonal eigenvectors. The presented concept is supported by a detailed analysis and numerical examples.

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Dates et versions

hal-04944133 , version 1 (13-02-2025)

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Citer

Isidora Stanković, Miloš Brajović, Cornel Ioana, Miloš Daković, Danilo Mandic, et al.. Matched Filtering on Directed Graphs. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2024, 54 (9), pp.5857-5861. ⟨10.1109/TSMC.2024.3407948⟩. ⟨hal-04944133⟩
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