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).
|Author||Yves Rozenholc (University Paris Descartes), Marianna Pensky (University of Central Florida)|
|Date of publication||2016-01-27 20:39:49|
|Maintainer||Yves Rozenholc <email@example.com>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
Install the latest version of this package by entering the following in R:
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.