Vorträge und Posterpräsentationen (ohne Tagungsband-Eintrag):
G. Babazadeh Eslamlou, N. Görtz:
"Binary Graph-Signal Recovery from Noisy Samples";
Poster: Signal Processing with Adaptive Sparse Structured Representations (SPARS 2017),
Lisbon;
05.06.2017
- 08.06.2017.
Kurzfassung englisch:
We study the problem of recovering a smooth graph signal from incomplete noisy measurements, using random sampling to choose from a subset of graph nodes. The signal recovery is formulated as a convex optimization problem. We reformulate the optimization problem in a way that the optimality conditions form a system of linear equations which is solvable via Laplacian solvers. We use an incomplete Cholesky factorization conjugate gradient (ICCG) method for graph signal recovery. Numerical experiments validate the performance of the recovery method over real-world blog-data of 2004 US election.
Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/publik_260827.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.