Fractional Linear Prediction Toolbox for MATLAB

[en] 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.

Disciplines :

Computer science

Author, co-author :

Despotovic, Vladimir ; University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Skovranek, Tomas; Technical University of Kosice > BERG Faculty

External co-authors :

yes

Language :

English

Title :

Fractional Linear Prediction Toolbox for MATLAB

Publication date :

October 2020

Event name :

21th International Carpathian Control Conference (ICCC)

Event place :

High Tatras, Slovakia

Event date :

from 27-10-2020 to 29-10-20202

Audience :

International

Main work title :

Proc. of 21th International Carpathian Control Conference (ICCC)

Publisher :

IEEE

ISBN/EAN :

978-1-7281-1952-6

Pages :

1-6

Peer reviewed :

Peer reviewed

Additional URL :

https://ieeexplore.ieee.org/abstract/document/9257227/figures#figures

Available on ORBilu :

since 28 November 2020

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Bibliography

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