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Iterative Reconstruction of Signals on Graph

descriptionPublicationkeyboard_double_arrow_right Article , Preprint , Other literature type 01 Jan 2020Embargo end date: 01 Jan 2019 Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Signal Processing Letters, volume 27, pages 76-80 (issn: 1070-9908, eissn: 1558-2361, Copyright policy )
Authors: Emanuele Brugnoli; Elena Toscano; Calogero Vetro;

doi: 10.1109/lsp.2019.2956670 , 10.48550/arxiv.1910.00805

arXiv: http://arxiv.org/abs/1910.00805

handle: 20.500.14243/404615

Iterative Reconstruction of Signals on Graph

Abstract

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.

8 pages, 3 figures

Country
Italy
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Keywords

Graph theory, Signal Processing (eess.SP), FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, signal reconstruction, Mathematics - Numerical Analysis, Numerical Analysis (math.NA), Electrical Engineering and Systems Science - Signal Processing, signal processing algorithms, spectral analysis

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    		 18
    popularity
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    		 Top 10%
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
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bronze
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