Building your own wavelets at home
By Wim Sweldens, Peter Schröder. 2000
453 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geophysics, Media Technology
View Paper: https://www.semanticscholar.org/paper/17f39234520ca5c89af02509cf30b2430a021aaa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Yang Liu
- Cai Liu
- Sergey Fomel
- Panagiotis Tsiotras
- Véronique Delouille
- Francois Chaplais
- Jo Simoens
- Dongwon Jung
In Geophysics
- Yang Liu
- Cai Liu
- Yang Liu
- Sergey Fomel
- Panagiotis Tsiotras
- Véronique Delouille
- Francois Chaplais
- Jo Simoens
In Media Technology
- Cai Liu
- Panagiotis Tsiotras
- Véronique Delouille
- Sergey Fomel
- Francois Chaplais
- Yang Liu
- Jo Simoens
- Dongwon Jung
Citations in the corpus
- Redundant wavelet processing on the half‐axis with applications to signal denoising with small delays: theory and experiments (2006, methodology): “The details of the construction of these filters can be found in [6] and [7].”
- Seislet transform and seislet frame (2010, methodology): “and by constructing the update operator to preserve the running average of the signal (Sweldens and Schröder, 1996), as follows:”
- Smooth Design-Adapted Wavelets for Nonparametric Stochastic Regression (2004, methodology): “Note that in the case of an equispaced design, an average-interpolation step performed in L2(R) produces the Cohen–Daubechies–Feauveau–(1, Ñ) biorthogonal transform (Cohen, Daubechies, and Feauveau 1992; Sweldens and Schröder 1996).”
- Signal and noise separation in prestack seismic data using velocity-dependent seislet transform (2015, methodology): “To define seislet transform, we follow the general recipe of the lifting scheme for the DWT, as described by Sweldens and Schröder (1996).”