Application of the 2D Local Entropy Information in Sparse TFD Reconstruction (CROSBI ID 722768)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jurdana, Vedran ; Volaric, Ivan ; Sucic, Victor
engleski
Application of the 2D Local Entropy Information in Sparse TFD Reconstruction
This paper investigates a method for information extraction from the time-frequency distributions (TFDs) based on the local Rényi entropy (LRE) calculated in 2-dimensional (2D) time-frequency (TF) regions. The obtained entropy map information has been projected on the time and frequency axes, estimating the local number of components. The local number of components obtained in this way has been compared to the existing 1D estimation method and applied in the shrinkage operator of a sparse TFD reconstruction algorithm. The obtained results confirm that the estimation based on the 2D entropy map achieves higher accuracy on the considered synthetic and real-life signals corrupted by noise when compared to the accuracy of the 1D method, improving both the shrinking operator classification and the TFD reconstruction performance.
time-frequency distribution , localized Rényi entropy , sparse reconstruction
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Podaci o prilogu
1570805085
2022.
objavljeno
10.1109/cobcom55489.2022.9880775
Podaci o matičnoj publikaciji
Institute of Electrical and Electronics Engineers (IEEE)
978-1-6654-8598-2
Podaci o skupu
2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom 2022)
predavanje
12.07.2022-14.07.2022
Graz, Austrija