CRAN/E | LaplaceDeconv

LaplaceDeconv

Laplace Deconvolution with Noisy Discrete Non-Equally Spaced Observations on a Finite Time Interval

Installation

About

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).

Key Metrics

Version 1.0.4
Published 2016-01-27 3015 days ago
Needs compilation? no
License MIT
License File
CRAN checks LaplaceDeconv results

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Maintainer

Maintainer

Yves Rozenholc

yves.rozenholc@parisdescartes.fr

Authors

Yves Rozenholc

(University Paris Descartes)

Marianna Pensky

(University of Central Florida)

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

LaplaceDeconv archive

Depends

parallel
polynom
orthopolynom