152 citations · 502 across the 13 of their papers we have counts for
3 papers · 1 filter
Graph Blind Deconvolution with Sparseness Constraint
Kazuma Iwata, Koki Yamada, Yuichi Tanaka
We propose a blind deconvolution method for signals on graphs, with the exact sparseness constraint for the original signal. Graph blind deconvolution is an algorithm for estimatin…
Sampling Signals on Graphs: From Theory to Applications
Yuichi Tanaka, Yonina C. Eldar, Antonio Ortega +1
The study of sampling signals on graphs, with the goal of building an analog of sampling for standard signals in the time and spatial domains, has attracted considerable attention…
Time-Varying Graph Learning with Constraints on Graph Temporal Variation
Haruki Yokota, Koki Yamada, Yuichi Tanaka +1
We propose a novel framework for learning time-varying graphs from spatiotemporal measurements. Given an appropriate prior on the temporal behavior of signals, our proposed method…