A note on wavelet bases in function spaces
By Hans Triebel. 2004
53 citations recorded by the source corpus.
Subfields: Applied Mathematics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/11b3130a900af4b4df3e56b25f6e4050b7b19d2e
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
- M. Rosenthal
- Hans Triebel
- Dorothee D. Haroske
- H. Kempka
- Dachun Yang
- Wen Yuan
- Tino Ullrich
- Leszek Skrzypczak
In Computer Vision and Pattern Recognition
Citations in the corpus
- Atomic, molecular and wavelet decomposition of generalized 2-microlocal Besov spaces (2010, background): “We follow closely the ideas expressed in [19], [20] and [11].”
- Wavelet bases and entropy numbers in weighted function spaces (2005, methodology): “7 the unweighted case of the theorem, this means w = 1, is covered by [56].”
- Function Spaces with Dominating Mixed Smoothness (2019, unknown): “In general, we follow the ideas expressed in [38].”
- Local means, wavelet bases and wavelet isomorphisms in Besov‐Morrey and Triebel‐Lizorkin‐Morrey spaces (2013, methodology): “This is the main idea getting wavelet bases in the classical Besov and Triebel-Lizorkin spaces as can be seen in the extensive work of Triebel [55]– [58].”