TY - GEN
T1 - Blue-Noise Sampling of Signals on Graphs
AU - Parada-Mayorga, Alejandro
AU - Lau, Daniel L.
AU - Giraldo, Jhony H.
AU - Arce, Gonzalo R.
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85082857725
UR - https://www.scopus.com/pages/publications/85082857725#tab=citedBy
U2 - 10.1109/SampTA45681.2019.9030829
DO - 10.1109/SampTA45681.2019.9030829
M3 - Conference contribution
AN - SCOPUS:85082857725
T3 - 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019
BT - 2019 13th International Conference on Sampling Theory and Applications, SampTA 2019
T2 - 13th International Conference on Sampling Theory and Applications, SampTA 2019
Y2 - 8 July 2019 through 12 July 2019
ER -