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Bayesian Design of Sampling Set for Bandlimited Graph Signals

Abstract: 

The design of sampling set (DoS) for bandlimited graph signals (GS) has been extensively studied in recent years, but few of them
exploit the benefits of the stochastic prior of GS. In this work, we introduce the optimization framework for Bayesian DoS of bandlimited GS. We also illustrate how the choice of di€erent sampling sets affects the estimation error and how the prior knowledge influences the result of DoS compared with the non-Bayesian DoS by the aid of analyzing Gershgorin discs of error metric matrix. Finally, based on our analysis, we propose a heuristic algorithm for DoS to avoid solving the optimization problem directly.

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Paper Details

Authors:
Submitted On:
15 November 2019 - 8:03am
Short Link:
Type:
Poster
Event:
Presenter's Name:
Hui Feng
Document Year:
2019
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[1] , "Bayesian Design of Sampling Set for Bandlimited Graph Signals", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4959. Accessed: Dec. 12, 2019.
@article{4959-19,
url = {http://sigport.org/4959},
author = { },
publisher = {IEEE SigPort},
title = {Bayesian Design of Sampling Set for Bandlimited Graph Signals},
year = {2019} }
TY - EJOUR
T1 - Bayesian Design of Sampling Set for Bandlimited Graph Signals
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4959
ER -
. (2019). Bayesian Design of Sampling Set for Bandlimited Graph Signals. IEEE SigPort. http://sigport.org/4959
, 2019. Bayesian Design of Sampling Set for Bandlimited Graph Signals. Available at: http://sigport.org/4959.
. (2019). "Bayesian Design of Sampling Set for Bandlimited Graph Signals." Web.
1. . Bayesian Design of Sampling Set for Bandlimited Graph Signals [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4959