LaplaceDeconv: Laplace Deconvolution with Noisy Discrete Non-Equally Spaced
Observations on a Finite Time Interval
Solves the problem of Laplace deconvolution with noisy discrete
non-equally spaced observations on a finite time interval based on expansions
of the convolution kernel, the unknown function and the observed signal over
Laguerre functions basis. It implements the methodology proposed in the paper
"Laplace deconvolution on the basis of time domain data and its application to
Dynamic Contrast Enhanced imaging" by F. Comte, C-A. Cuenod, M. Pensky and Y.
Rozenholc in ArXiv (http://arxiv.org/abs/1405.7107).
| Version: |
1.0.4 |
| Depends: |
parallel, polynom, orthopolynom |
| Published: |
2016-01-27 |
| Author: |
Yves Rozenholc (University Paris Descartes), Marianna Pensky (University
of Central Florida) |
| Maintainer: |
Yves Rozenholc <yves.rozenholc at parisdescartes.fr> |
| License: |
MIT + file LICENSE |
| NeedsCompilation: |
no |
| CRAN checks: |
LaplaceDeconv results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=LaplaceDeconv
to link to this page.