Noise Reduction in Time Series using F-transform

被引：2
|
作者：
Holcapek, Michal [1 ]
Novak, Vilem [1 ]
Perfilieva, Irina [1 ]
机构：
[1] Div Univ Ostrava, Ctr Excellence IT4Innovat, Inst Res & Applicat Fuzzy Modeling, 30 Dubna 22, Ostrava 70103 1, Czech Republic
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) | 2013年
关键词：
Fuzzy transform; random process; noise reduction; FUZZY TRANSFORMS;
D O I：
10.1109/FUZZ-IEEE.2013.6622492
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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收藏
页数：8
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