Pregled bibliografske jedinice broj: 428829
Performance Analysis of the LPA-RICI Denoising Method
Performance Analysis of the LPA-RICI Denoising Method // Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis Salzburg, Austria, September 16-18, 2009 / Peter Zinterhof, Sven Lončarić, Andreas Uhl, Alberto Carini (ur.).
Salzburg: Published by: University of Salzburg, Kapitelgasse 4-6, 5020 Salzburg, Austria and Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia, 2009. str. 28-33 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 428829 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Performance Analysis of the LPA-RICI Denoising Method
Autori
Lerga, Jonatan ; Sučić, Viktor ; Seršić, Damir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 6th International Symposium on Image and Signal Processing and Analysis Salzburg, Austria, September 16-18, 2009
/ Peter Zinterhof, Sven Lončarić, Andreas Uhl, Alberto Carini - Salzburg : Published by: University of Salzburg, Kapitelgasse 4-6, 5020 Salzburg, Austria and Faculty of Electrical Engineering and Computing, University of Zagreb, Unska 3, 10000 Zagreb, Croatia, 2009, 28-33
ISBN
978-953-184-134-4
Skup
6th International Symposium on Image and Signal Processing and Analysis ISPA 2009
Mjesto i datum
Salzburg, Austrija, 16.09.2009. - 18.09.2009
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Signal denoising; signal restoration; adaptive filtering; adaptive varying window selection; one-dimensional signal processing; relative intersection of confidence intervals (RICI) rule; intersection of confidence intervals (ICI) rule; local polynomial approximation (LPA).
Sažetak
In this paper we have analyzed the performance of the recently introduced LPA-RICI signal denoising method. The RICI method is an extension of the classical denoising method based on the intersection of confidence intervals (ICI) rule, whereby an additional criterion, the ratio of intersection of confidence intervals, has been included. The performance of the RICI method is studied on a several test signals for an extensive range of noise distributions and SNR values. It is shown that for all types of noise and all considered SNR values, the RICI method when compared to the ICI method significantly reduces the estimation mean squared error.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
036-0362214-1989 - Inteligentne metode obrade i analize slika (Lončarić, Sven, MZO ) ( CroRIS)
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Tehnički fakultet, Rijeka