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Analysis of entropy-based denoising algorithm's performance on signals in colored noise environments (CROSBI ID 665867)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Saulig, Nicoletta ; Etinger, Darko ; Milanović, Željka Analysis of entropy-based denoising algorithm's performance on signals in colored noise environments // Proceedings of Elmar-2018 / Muštra, Mario ; Grgić, Mislav ; Zovko-Cihar, Branka et al. (ur.). Zagreb, 2018. str. 147-150

Podaci o odgovornosti

Saulig, Nicoletta ; Etinger, Darko ; Milanović, Željka

engleski

Analysis of entropy-based denoising algorithm's performance on signals in colored noise environments

In this paper, the ability of local-entropy- based algorithm for extraction of useful information content of nonstationary signals embedded in colored noise environments is investigated. The local-entropy-based algorithm has been introduced in literature as an automatic method for signal denoising, however its application has so far been limited to white noise removal. The algorithm's effects on signals corrupted by pink (flicker) and blue noise, reported in this paper, are consistently beneficial for signals with different noise power spectra, proving the algorithm's ability to perform well in various environments. The algorithms's performance in pink and blue noise is shown on examples of dolphin's and bat's calls.

Time-frequency distributions ; Segmentation ; Threshold ; Local Renyi entropy

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Podaci o prilogu

147-150.

2018.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of Elmar-2018

Muštra, Mario ; Grgić, Mislav ; Zovko-Cihar, Branka ; Vitas, Dijana

Zagreb:

978-953-184-244-0

1334-2630

Podaci o skupu

60th International Symposium ELMAR-2018

predavanje

16.09.2018-19.09.2018

Zagreb, Hrvatska

Povezanost rada

Elektrotehnika, Informacijske i komunikacijske znanosti, Računarstvo