A Distributed Tracking Algorithm for Reconstruction of Graph Signals

@article{Wang2015ADT,
  title={A Distributed Tracking Algorithm for Reconstruction of Graph Signals},
  author={Xiaohan Wang and Mengdi Wang and Yuantao Gu},
  journal={IEEE Journal of Selected Topics in Signal Processing},
  year={2015},
  volume={9},
  pages={728-740}
}
The rapid development of signal processing on graphs provides a new perspective for processing large-scale data associated with irregular domains. In many practical applications, it is necessary to handle massive data sets through complex networks, in which most nodes have limited computing power. Designing efficient distributed algorithms is critical for this task. This paper focuses on the distributed reconstruction of a time-varying bandlimited graph signal based on observations sampled at a… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 44 references

Signal processing techniques for interpolation in graph structured data

2013 IEEE International Conference on Acoustics, Speech and Signal Processing • 2013
View 4 Excerpts
Highly Influenced

Chebyshev polynomial approximation for distributed signal processing

2011 International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS) • 2011
View 6 Excerpts
Highly Influenced

Local-Set-Based Graph Signal Reconstruction

IEEE Transactions on Signal Processing • 2015
View 2 Excerpts

Coarsening graph signal with spectral invariance

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2014
View 1 Excerpt

Graph signal coarsening: Dimensionality reduction in irregular domain

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) • 2014
View 1 Excerpt

Iterative reconstruction of graph signal in low-frequency subspace

2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP) • 2014
View 2 Excerpts

Towards a sampling theorem for signals on arbitrary graphs

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2014
View 2 Excerpts

A Spectral Graph Uncertainty Principle

IEEE Transactions on Information Theory • 2013
View 1 Excerpt

Adaptive graph filtering: Multiresolution classification on graphs

2013 IEEE Global Conference on Signal and Information Processing • 2013
View 1 Excerpt

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