@inproceedings{aa3cfd3e8c0d44699ab57c3949308371,
title = "Fractional Linear Prediction Toolbox for MATLAB",
abstract = "This paper presents the Fractional Linear Prediction (FLP) Toolbox implemented in MATLAB with a supporting livescript interface that offers an user-friendly environment for the prediction of one-dimensional signals. Two versions of the FLP are implemented in the toolbox and presented here. While the first approach is using the 'full' memory (the whole history of the signal), the second approach uses the 'restricted' memory (two, three or four previous samples). Both FLP approaches are compared to the standard linear prediction and their performance is evaluated in examples using a test signal (sine wave signal), and a real-data signal (speech signal) as the input.",
keywords = "MATLAB, fractional calculus, fractional linear prediction, live-script, signal processing",
author = "Vladimir Despotovic and Tomas Skovranek",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 21st IEEE International Carpathian Control Conference, ICCC 2020 ; Conference date: 27-10-2020 Through 29-10-2020",
year = "2020",
month = oct,
day = "27",
doi = "10.1109/ICCC49264.2020.9257227",
language = "English",
series = "Proceedings of the 2020 21st International Carpathian Control Conference, ICCC 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Ivo Petras and Jan Kacur",
booktitle = "Proceedings of the 2020 21st International Carpathian Control Conference, ICCC 2020",
address = "United States",
}