Random sampling and approximation of signals with bounded derivatives
Abstract Approximation of analog signals from noisy samples is a fundamental, but nevertheless difficult problem. This paper addresses the problem of approximating functions in Hγ,Ω $H_{\gamma , \varOmega }$ from randomly chosen samples, where Hγ,Ω={f∣f is continuous on Ω‾,and ∥Df∥L∞(Ω)≤γ∥f∥L∞(Ω)}....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-04-01
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| Series: | Journal of Inequalities and Applications |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13660-019-2059-x |