For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Sampling Set Selection for Bandlimited Signals over Perturbed Graph
Pei LI Haiyang ZHANG Fan CHU Wei WU Juan ZHAO Baoyun WANG
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2020/06/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Graphs and Networks
graph signal processing, sampling set, mean square error, reconstruction,
Full Text: PDF(393.7KB)>>
This paper proposes a sampling strategy for bandlimited graph signals over perturbed graph, in which we assume the edge between any pair of the nodes may be deleted randomly. Considering the mismatch between the true graph and the presumed graph, we derive the mean square error (MSE) of the reconstructed bandlimited graph signals. To minimize the MSE, we propose a greedy-based algorithm to obtain the optimal sampling set. Furthermore, we use Neumann series to avoid the pseudo-inverse computing. An efficient algorithm with low-complexity is thus proposed. Finally, numerical results show the superiority of our proposed algorithms over the other existing algorithms.