Abstract
In this paper, we focus on the design of oversampled filter banks and the resulting framelets. The framelets obtained exhibit improved shift invariant properties over decimated wavelet transform. Shift invariance has applications in many areas, particularly denoising, coding and compression. Our contribution here is on filter bank completion. In addition, we propose novel factorization methods to design wavelet filters from given scaling filters.
| Original language | English |
|---|---|
| Article number | 1350010 |
| Pages (from-to) | 1-9 |
| Journal | International Journal of Wavelets, Multiresolution and Information Processing |
| Volume | 11 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2013 |
Keywords
- Signal Processing
- Mathematical Software
- Numerical Computation
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