AdaptiveLASSO

AdaptiveLASSO.jl is a Julia package able to distinguish meaningful level shifts from typical signal fluctuations which, in a fiber monitoring context, is associated with the problem of identifying small losses within a noisy optical time-domain reflectometer (OTDR) profile. This is the Julia version of the original supplemental material for the paper "Adaptive Filter for Automatic Identification of Mulitple Fiber Faults in a Noisy OTDR Profile".

Installing

In order to use it, download the package in the julia prompt with the command:

Pkg.clone("git://github.com/FelipeCalliari/AdaptiveLASSO.jl.git")

Then simply include the command using AdaptiveLASSO to import the package.

Example

# after initializing the package with
# Pkg.clone("git://github.com/FelipeCalliari/AdaptiveLASSO.jl.git")

# then you must include the library
using AdaptiveLASSO

# read the files
Y = readdlm("ExperimentalData.csv", ',', Float64, '\r')
Y = Y[:,2]

# run the algorithm
Selections, FilterResult, Beta_lasso = LSIAF(Y)

Updating

There are two options to update the package:

First

Pkg.checkout("AdaptiveLASSO")

Second

The second option is to remove the package and add it again:

Pkg.rm("AdaptiveLASSO")
workspace()
Pkg.clone("git://github.com/FelipeCalliari/AdaptiveLASSO.jl.git")