Graph signal reconstruction based on spatio-temporal features learning-Reference-Cited by-同舟云学术

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Graph signal reconstruction based on spatio-temporal features learning

Published:2024-05 Issue: Volume:148 Page:104414
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Yang Jie^ORCID,Shi Ce,Chu Yueyan,Guo Wenbin

Publisher

Elsevier BV

Reference64 articles.

1. The emerging field of signal processing on graphs: extending high-dimensional data analysis to networks and other irregular domains;Shuman;IEEE Signal Process. Mag.,2013

2. Fourier could be a data scientist: from graph Fourier transform to signal processing on graphs;Ricaud;C. R. Phys.,2019

3. Discrete signal processing on graphs;Sandryhaila;IEEE Trans. Signal Process.,2013

4. Big data analysis with signal processing on graphs: representation and processing of massive data sets with irregular structure;Sandryhaila;IEEE Signal Process. Mag.,2014

5. Signal processing on graphs: causal modeling of unstructured data;Mei;IEEE Trans. Signal Process.,2017

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1. Wavelet-Based Spatiotemporal Sparse Quaternion Dictionary Learning for Reconstruction of Multi-Channel Vibration Data;2024

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