Naslov
A virtual instrument for efficient blind-source separation of nonstationary signals

Autori
Milanović, Željka ; Saulig, Nicoletta ; Sučić, Viktor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the First International Multidisciplinary Conference on Computer and Energy Science (SpliTech2016) / - , 2016

Skup
International Multidisciplinary Conference on Computer and Energy Science (SpliTech2016)

Mjesto i datum
Split, Hrvatska, 13.07.2016. - 15.07.2016

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Virtual Instrument; Time-frequency distributions; K-means clustering; local Renyi entropy; Image Segmentation

Sažetak
In this paper two methods for blind source separation of nonstationary signals, such as electroencephalogram output, applied to time frequency distributions are compared through implementation in a virtual instrument. Both methods are based on image processing approaches, but adopt different strategies for solving the blind source separation problem: the first method is based on a data clustering extraction, while the second one relies on the initial estimation of number of components followed by an iterative peak detection and extraction algorithm. The proposed virtual instrument provides an efficient and fast method for medical signal analysis, with low execution time and low resource consumption.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA