Kernel-Based Reconstruction of Graph Signals

DOI10.1109/TSP.2016.2620116zbMath1414.94514arXiv1605.07174MaRDI QIDQ4620585

Meng Ma, Daniel M. Romero, Georgios B. Giannakis

Publication date: 8 February 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1605.07174

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (5)

A Maximum Principle Argument for the Uniform Convergence of Graph Laplacian Regressors ⋮ Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures ⋮ Graph signal interpolation with positive definite graph basis functions ⋮ Continuum versus discrete networks, graph Laplacians, and reproducing kernel Hilbert spaces ⋮ Partition of unity methods for signal processing on graphs

This page was built for publication: Kernel-Based Reconstruction of Graph Signals