复旦大学数字信号处理与传输实验室的盛航、金麟同学的论文Sampling of Finite Time-Vertex Graph Signals with Successive Local Aggregations，被Asilomar Conference on Signals, Systems, and Computers(2025 59th) 录用

论文摘要：Time-vertex graph signals (TVGS) integrate temporal dy namics into graph-structured data, posing significant storage  and processing challenges. Conventional subset sampling and  reconstruction schemes are not friendly for sensor networks  in terms of cost savings and resource scheduling. To ad dress this, we innovatively propose a synchronous aggrega tion sampling (SAS) scheme for TVGS. The SAS scheme en ables sampling of only a subset of candidate vertices, while  aggregating information from all active vertices into a mini mal set for data backhaul. Theoretical guarantees for perfect  reconstruction are established under bandlimited TVGS as sumptions. The SAS effectively reduces the number of back haul vertices, reduces the cost of equipment, and reduces the  communication complexity.

论文作者：Hang Sheng, Lin Jin, Hui Feng, Bo Hu