Fundamental Papers in Wavelet Theory

By Christopher Heil, D. Walnut. 2006

74 citations recorded by the source corpus.

Subfields: Applied Mathematics, Computer Vision and Pattern Recognition, Geophysics

View Paper: https://www.semanticscholar.org/paper/b0f9533187e87a7bfb9a669501c92afa60252102

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. Jean-Pierre Antoine
2. Pierre Vandergheynst
3. Mark Hoogendoorn
4. J. Tomczak
5. David W. Romero
6. Erik J. Bekkers

In Computer Vision and Pattern Recognition

1. Erik J. Bekkers
2. David W. Romero
3. J. Tomczak
4. Mark Hoogendoorn
5. Jean-Pierre Antoine
6. Pierre Vandergheynst
7. Daniela Rosca
8. Max Welling

In Geophysics

1. Mark Hoogendoorn
2. J. Tomczak
3. David W. Romero
4. Erik J. Bekkers

Citations in the corpus

• Wavelet transform on manifolds: Old and new approaches (2010, background): “The rest of the story is well-known and most of it, including the original papers, may be found in the compendium [ 16 ]: the continuous wavelet transform (CWT), the discrete wavelet transform (DWT), based on the concept of multiresolution analysis, the extension to higher dimension, etc.”
• Wavelet Networks: Scale Equivariant Learning From Raw Waveforms (2020, methodology): “Based on findings in several years of research in wavelet analysis, we select a dyadic dilation set as the basis b of our approach [44, 17].”