
doi: 10.1109/78.824683
Summary: Discrepancies between the discrete wavelet transform and the coefficients of the wavelet series are known to be reducible by initialization of input data. Prefilters based on Lagrange interpolants are derived here for biorthogonal compact support wavelet systems, providing exact subspace projection in cases of local polynomial smoothness. The resulting convergence acceleration in a nonpolynomial test case is examined. Irregular sampling rates are also accommodated.
Signal theory (characterization, reconstruction, filtering, etc.), sampling, Numerical methods for wavelets, biorthogonal compact support wavelet systems, Lagrange interpolation, Nontrigonometric harmonic analysis involving wavelets and other special systems, prefilters
Signal theory (characterization, reconstruction, filtering, etc.), sampling, Numerical methods for wavelets, biorthogonal compact support wavelet systems, Lagrange interpolation, Nontrigonometric harmonic analysis involving wavelets and other special systems, prefilters
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 11 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
