DocumentCode
3384429
Title
Noise reduction in time series using F-transform
Author
Holcapek, Michal ; Novak, Vilem ; Perfilieva, Irina
Author_Institution
Centre of Excellence IT4Innovations, Univ. of Ostrava, Ostrava, Czech Republic
fYear
2013
fDate
7-10 July 2013
Firstpage
1
Lastpage
8
Abstract
In this paper, we will focus on the application of fuzzy transform (F-transform) in the analysis of time series. We assume that the time series is decomposed into two constituents: the trend-cycle and random noise. We will demonstrate that using the F-transform we can reduce the variability of random noise which consequence is an extraction of the trend-cycle.
Keywords
fuzzy set theory; random noise; time series; transforms; F-transform; fuzzy transform; noise reduction; random noise; time series; trend-cycle; Erbium; Fuzzy transform; noise reduction; random process;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location
Hyderabad
ISSN
1098-7584
Print_ISBN
978-1-4799-0020-6
Type
conf
DOI
10.1109/FUZZ-IEEE.2013.6622492
Filename
6622492
Link To Document