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eess.SP2022★ 1 cited
Dynamic Sensor Placement Based on Sampling Theory for Graph Signals
Saki Nomura, Junya Hara, Hiroshi Higashi +1
In this paper, we consider a sensor placement problem where sensors can move within a network over time. Sensor placement problem aims to select K sensor positions from N candidate…
eess.SP2021★ 23 cited
Graph Signal Restoration Using Nested Deep Algorithm Unrolling
Masatoshi Nagahama, Koki Yamada, Yuichi Tanaka +2
Graph signal processing is a ubiquitous task in many applications such as sensor, social, transportation and brain networks, point cloud processing, and graph neural networks. Ofte…