Reference : Fractional Linear Prediction Toolbox for MATLAB
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
Fractional Linear Prediction Toolbox for MATLAB
Despotovic, Vladimir mailto [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS) >]
Skovranek, Tomas [Technical University of Kosice > BERG Faculty]
Proc. of 21th International Carpathian Control Conference (ICCC)
21th International Carpathian Control Conference (ICCC)
from 27-10-2020 to 29-10-20202
High Tatras
[en] fractional calculus ; fractional linear prediction ; signal processing ; 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.

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