Sampling Expansions in Reproducing Kernel Hilbert and Banach Spaces

By Deguang Han, M. Zuhair Nashed, Qiyu Sun. 2009

54 citations recorded by the source corpus.

Subfields: Applied Mathematics, Geophysics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/deae22af606b0ffd986bea65037a3bce0a67ca8e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

1. Clint Scovel
2. Jun Zhang
3. Houman Owhadi
4. Haizhang Zhang

In Radiology, Nuclear Medicine and Imaging

1. Houman Owhadi

Citations in the corpus

• Separability of reproducing kernel spaces (2015, result): “This generalization to RKBSs has generated much interest lately; for example see recent results of Fukumizu, Lanckriet and Sriperumbudur [17], Zhang and Zhang [42], Fasshauer, Hickernell and Ye [13] in machine learning, in particular of Song, Zhang and Hickernell [30] on sparse learning, and the rec”
• Frames, Riesz bases, and sampling expansions in Banach spaces via semi-inner products☆ (2011, background): “In a recent article [20], a Banach space B of functions on X where point evaluation functionals are always continuous was called a reproducing kernel Banach space.”