𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Wavelet Deconvolution With Noisy Eigenvalues

✍ Scribed by Cavalier, Laurent; Raimondo, Marc

Book ID
111926376
Publisher
IEEE
Year
2007
Tongue
English
Weight
970 KB
Volume
55
Category
Article
ISSN
1053-587X

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Density deconvolution based on wavelets
Density deconvolution based on wavelets with bounded supports
✍ Marianna Pensky πŸ“‚ Article πŸ“… 2002 πŸ› Elsevier Science 🌐 English βš– 133 KB

Under the assumption that both convolution densities, g and q, have ΓΏnite degrees of smoothness, we construct a nonlinear wavelet estimator of the unknown density g based on wavelets with bounded supports. We show that this estimator provides local adaptivity to the unknown smoothness of g and, henc

Novel Deconvolution of Noisy Gaussian Fi
Novel Deconvolution of Noisy Gaussian Filters with a Modified Hermite Expansion
✍ C. Konstantopoulos; R. Hohlfeld; G. Sandri πŸ“‚ Article πŸ“… 1994 πŸ› Elsevier Science βš– 612 KB

We have shown (J. Appl. Phys., 1990, 1415-1420) that deconvolving an image which was blurred by a Gaussian filter is equivalent to antidiffusing the image for an appropriate duration of time. However, the antidiffusion algorithm used to show this, based on backward integration of the diffusion equat

Using wavelet methods to solve noisy Abe
Using wavelet methods to solve noisy Abel-type equations with discontinuous inputs
✍ Peter Hall; Robert Paige; Frits H. Ruymgaart πŸ“‚ Article πŸ“… 2003 πŸ› Elsevier Science 🌐 English βš– 302 KB

One way of estimating a function from indirect, noisy measurements is to regularise an inverse of its Fourier transformation, using properties of the adjoint of the transform that degraded the function in the first place. It is known that when the function is smooth, this approach can perform well a