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Effects of Fast Noises on Long-Range Correlations

発表形態:
原著論文
主要業績:
主要業績
単著・共著:
単著
発表年月:
2011年01月
DOI:
会議属性:
指定なし
査読:
有り
リンク情報:
doi:10.1016/j.cpc.2010.08.001

日本語フィールド

著者:
Shin-ichi TADAKI
題名:
Effects of Fast Noises on Long-Range Correlations
発表情報:
Computer Physics Communications 巻: 182 号: 1 ページ: 237-239
キーワード:
long-range correlations, short-range noises, detrended fluctuation analysis
概要:
抄録:
Improvement in time resolution sometimes introduces fast (short-range) random noises into temporal data sequences. These noises affect the results of power-spectrum analyses and the Detrended Fluctuation Analysis (DFA). The DFA is one of useful methods for analyzing long-range correlations in non-stationary sequences. The effects of noises are discussed based on artificial temporal sequences. Short-range noises prevent power-spectrum analyses from detecting long-range correlations. The DFA can extract long-range correlations from noisy time sequences. The DFA also gives the threshold time length, under which the noises dominate.

英語フィールド

Author:
Shin-ichi TADAKI
Title:
Effects of Fast Noises on Long-Range Correlations
Announcement information:
Computer Physics Communications Vol: 182 Issue: 1 Page: 237-239
Keyword:
long-range correlations, short-range noises, detrended fluctuation analysis
An abstract:
Improvement in time resolution sometimes introduces fast (short-range) random noises into temporal data sequences. These noises affect the results of power-spectrum analyses and the Detrended Fluctuation Analysis (DFA). The DFA is one of useful methods for analyzing long-range correlations in non-stationary sequences. The effects of noises are discussed based on artificial temporal sequences. Short-range noises prevent power-spectrum analyses from detecting long-range correlations. The DFA can extract long-range correlations from noisy time sequences. The DFA also gives the threshold time length, under which the noises dominate.


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