Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification-Reference-Cited by-同舟云学术

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Graph Signal Reconstruction Under Heterogeneous Noise via Adaptive Uncertainty-Aware Sampling and Soft Classification

Published:2024 Issue: Volume:10 Page:277-293
ISSN:2373-776X
Container-title:IEEE Transactions on Signal and Information Processing over Networks
language:
Short-container-title:IEEE Trans. on Signal and Inf. Process. over Networks

Author:

Fascista Alessio¹^ORCID,Coluccia Angelo¹^ORCID,Ravazzi Chiara²^ORCID

Affiliation:

1. Dipartimento di Ingegneria dell'Innovazione, University of Salento, Lecce, Italy

2. Italian National Research Council (CNR-IEIIT), Corso Duca Degli Abruzzi, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6884276/10380708/10465260.pdf?arnumber=10465260

Reference40 articles.

1. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

2. Analysis of the Spatio-Temporal Dynamics of COVID-19 in Massachusetts via Spectral Graph Wavelet Theory

3. Big Data Analysis with Signal Processing on Graphs: Representation and processing of massive data sets with irregular structure

4. Graph Signal Processing for Machine Learning: A Review and New Perspectives

5. Graph Signal Processing in Applications to Sensor Networks, Smart Grids, and Smart Cities

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