Blue-Noise Sampling of Signals on Graphs

Alejandro Parada-Mayorga; Daniel L. Lau; Jhony H. Giraldo; Gonzalo R. Arce

doi:10.1109/SampTA45681.2019.9030829

Blue-Noise Sampling of Signals on Graphs

Alejandro Parada-Mayorga, Daniel L. Lau, Jhony H. Giraldo, Gonzalo R. Arce

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

In this work we introduce the concept of blue noise sampling, traditionally used in imaging applications, for bandlimited signals on graphs. We show how the spectral and vertex domain characterization of these patterns is connected with results about the quality of the sampling sets already existing in the literature. We provide numerical evidence that shows that these patterns are also competitive with respect to the state of the art sampling techniques in terms of the reconstruction error.

Original language	English
Title of host publication	2019 13th International Conference on Sampling Theory and Applications, SampTA 2019
ISBN (Electronic)	9781728137414
DOIs	https://doi.org/10.1109/SampTA45681.2019.9030829
State	Published - Jul 2019
Event	13th International Conference on Sampling Theory and Applications, SampTA 2019 - Bordeaux, France Duration: Jul 8 2019 → Jul 12 2019

Publication series

Name	2019 13th International Conference on Sampling Theory and Applications, SampTA 2019

Conference

Conference	13th International Conference on Sampling Theory and Applications, SampTA 2019
Country/Territory	France
City	Bordeaux
Period	7/8/19 → 7/12/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

ASJC Scopus subject areas

Statistics and Probability
Signal Processing
Analysis
Statistics, Probability and Uncertainty
Applied Mathematics

Access to Document

10.1109/SampTA45681.2019.9030829

Cite this

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title = "Blue-Noise Sampling of Signals on Graphs",

abstract = "In this work we introduce the concept of blue noise sampling, traditionally used in imaging applications, for bandlimited signals on graphs. We show how the spectral and vertex domain characterization of these patterns is connected with results about the quality of the sampling sets already existing in the literature. We provide numerical evidence that shows that these patterns are also competitive with respect to the state of the art sampling techniques in terms of the reconstruction error.",

author = "Alejandro Parada-Mayorga and Lau, {Daniel L.} and Giraldo, {Jhony H.} and Arce, {Gonzalo R.}",

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month = jul,

doi = "10.1109/SampTA45681.2019.9030829",

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Parada-Mayorga, A, Lau, DL, Giraldo, JH & Arce, GR 2019, Blue-Noise Sampling of Signals on Graphs. in 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019., 9030829, 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019, 13th International Conference on Sampling Theory and Applications, SampTA 2019, Bordeaux, France, 7/8/19. https://doi.org/10.1109/SampTA45681.2019.9030829

Blue-Noise Sampling of Signals on Graphs. / Parada-Mayorga, Alejandro; Lau, Daniel L.; Giraldo, Jhony H. et al.
2019 13th International Conference on Sampling Theory and Applications, SampTA 2019. 2019. 9030829 (2019 13th International Conference on Sampling Theory and Applications, SampTA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Blue-Noise Sampling of Signals on Graphs

Abstract

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Access to Document

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