| Autor: |
Junya Hara, Yuichi Tanaka |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
IEEE Open Journal of Signal Processing, Vol 4, Pp 148-156 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2644-1322 |
| DOI: |
10.1109/OJSP.2023.3249112 |
| Popis: |
In this article, we consider multi-channel sampling (MCS) for graph signals. We generally encounter full-band graph signals beyond the bandlimited ones in many applications, such as piecewise constant/smooth graph signals and union of bandlimited graph signals. Full-band graph signals can be represented by a mixture of multiple signals conforming to different generation models. This requires the analysis of graph signals via multiple sampling systems, i.e., MCS, while existing approaches only consider single-channel sampling. We develop a MCS framework based on generalized sampling. We also present a sampling set selection (SSS) method for the proposed MCS so that the graph signal is best recovered. Furthermore, we reveal that existing graph filter banks can be viewed as a special case of the proposed MCS. In signal recovery experiments, the proposed method exhibits the effectiveness of recovery for full-band graph signals. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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