资 源 简 介
1. Introduction
An intelligence background-correction algorithm for highly fluorescent sample in Raman spectroscopy has been developed with peak detection and width estimation by CWT wavelet and background fitting by penalized least squares.
The programming language is R(http://www.r-project.org/).
2. Installation
2.1 baselineWavelet 4.0.2
Firstly, you must download and install R 3.1.0 from the urls as follows:
for windows: http://cran.rstudio.com/bin/windows/base/old/3.1.0/R-3.1.0-win.exe
for linux: http://cran.r-project.org/src/base/R-3/R-3.1.0.tar.gz
Then, download the baselineWavelet package from this project download pages.
for windows: https://github.com/zmzhang/baselineWavelet/releases/download/4.0.2/baselineWavelet_4.0.2.zip
for linux: https://github.com/zmzhang/baselineWavelet/releases/download/4.0.2/baselineWavelet_4.0.2.tar.gz
Install the
