Methodology and practical aspects of signal filtration based on Blind Source Separation
Ryszard Szupiluk and
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Ryszard Szupiluk: Szkoła Główna Handlowa w Warszawie
Paweł Rubach: Szkoła Główna Handlowa w Warszawie
Collegium of Economic Analysis Annals, 2019, issue 54, 183-196
This paper presents the methodological and practical aspects of signal filtration using Blind Signal Separation. The paper describes the whole process and discusses various methods and algorithms used in signal filtration: ICA FASTICA, JADE, AMUSE and Nonnegative Matrix Factorization (NMF). A practical experiment has been conducted to demonstrate the overall filtration framework and show the effectiveness of three chosen algorithms: JADE, AMUSE and NMF. The practical goal of this experiment was to improve the prediction of short-term energy consumption. While using NMF does not provide an improvement, the other two algorithms perform well and lead to a significant reduction in the prediction error.
Keywords: Time-series Filtration; Non-negative Matrix Factorization; Blind Signal Separation; Blind Source Separation; AMUSE; JADE; ICA (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:sgh:annals:i:54:y:2019:p:183-196
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