Source signal Classification data and hyper-parameters for "Random Walk for modelling Multi Core Fiber cross-talk and step distribution characterisation"
datasetposted on 10.08.2020 by Alessandro Ottino
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Preprocessed data used for source signal classification tasks performed in "Random Walk for modelling Multi Core Fiber cross-talk and step distribution characterisation". In addtition the SVM hyperparameters for the classifier are provided so that the results obtained are reproducible.
The data is provided as a Matlab .mat and the classifier information are available in a .txt file.