Sampling of Graph Signals via Randomized Local Aggregations
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2018.2869354
Abstract: Sampling of signals defined over the nodes of a graph is one of the crucial problems in graph signal processing, whereas in classical signal processing, sampling is a well-defined operation; when we consider a graph… read more here.
Keywords: via randomized; sampling graph; graph signals; randomized local ... See more keywords
Reconstructing Sparse Signals via Greedy Monte-Carlo Search
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Physical Society of Japan"
DOI: 10.7566/jpsj.89.124802
Abstract: We propose a Monte-Carlo-based method for reconstructing sparse signals in the formulation of sparse linear regression in a high-dimensional setting. The basic idea of this algorithm is to explicit... read more here.
Keywords: via greedy; monte carlo; signals via; sparse signals ... See more keywords