Blue-Noise Sampling of Signals on Graphs
| Autor: | Alejandro Parada-Mayorga, Daniel L. Lau, Gonzalo R. Arce, Jhony H. Giraldo |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Bandlimiting
Vertex (graph theory) Reconstruction error 010201 computation theory & mathematics Colors of noise Computer science 0202 electrical engineering electronic engineering information engineering Sampling (statistics) 020206 networking & telecommunications 0102 computer and information sciences 02 engineering and technology 01 natural sciences Algorithm |
| Zdroj: | 2019 13th International conference on Sampling Theory and Applications (SampTA). |
| DOI: | 10.1109/sampta45681.2019.9030829 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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