Research Info

Home \Reconstruction of missing ...
Title
Reconstruction of missing samples in signal defined on a directed graph
Type Presentation
Keywords
Graph Fourier transform, Directed graph, Signal reconstruction, Compressive sensing
Abstract
Incomplete signals defined on graphs present a significant challenge for their analysis and processing. This paper presents a method for missing graph signal values reconstruction on directed graphs, whose adjacency matrices are often not diagonalizable. We perform modification of the adjacency matrix, i.e., adding new edges, with the aim of achieving diagonalizability, allowing the application of spectral analysis - i.e. graph Fourier transform as well as advanced reconstruction algorithms. The presented results confirm the effectiveness of the proposed method.
Researchers Petar Draskovic (First researcher) , Milos Dakovic (Second researcher) , Jonatan Lerga (Third researcher) , Ali Bagheri-Bardi (Fourth researcher) , Ljubiša Stanković (Fifth researcher)