Abstract | ||
---|---|---|
This paper builds theoretical foundations for the recovery of a newly proposed class of smooth graph signals, approximately bandlimited graph signals, under three sampling strategies: uniform sampling, experimentally designed sampling, and active sampling. We then state minimax lower bounds on the maximum risk for the approximately bandlimited class under these three sampling strategies and show t... |
Year | DOI | Venue |
---|---|---|
2015 | 10.1109/TSIPN.2016.2614903 | IEEE Transactions on Signal and Information Processing over Networks |
Keywords | Field | DocType |
Signal processing,Fourier transforms,Eigenvalues and eigenfunctions,Convergence,Semisupervised learning,Information processing,Electronic mail | Convergence (routing),Signal processing,Minimax,Bandlimiting,Computer science,Mean squared error,Algorithm,Fourier transform,Sampling (statistics),Random geometric graph | Journal |
Volume | Issue | ISSN |
2 | 4 | 2373-776X |
Citations | PageRank | References |
19 | 0.65 | 40 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Siheng Chen | 1 | 324 | 27.85 |
rohan varma | 2 | 139 | 7.32 |
Aarti Singh | 3 | 584 | 53.39 |
Jelena Kovacevic | 4 | 802 | 95.87 |