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- 清水 浩
- 京都大学大学院農学研究科
書誌事項
- タイトル別名
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- Noise Reduction Method for Time Series Data of plant. Growth with Adjustment of Cut off Frequency of Low Pass Filter.
- ローパス フィルタ シャダン シュウハスウ ノ チョウセイ ニヨル ショクブツ
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A new procedure for reducing the noise on time-series data is presented. Lowpass filters commonly are used for noise reduction, but high-frequency components such as plant elongation responses to sudden changes in environmental conditions also are removed. This phenomenon complicates analysis of data depicting plant responses to changes in environmental conditions.<BR>The procedure we developed consists of moving average noise reduction combined with numerical differentiation. The moving average is an all-encompassing method of noise reduction and is applied easily, the length of the symmetric moving average operator is adjusted according to a transition in the original time series. A second derivative is used to detect the transition in the original time series. It is assumed that a point in the original time-series with a large second-derivative value is likely the transition point. The length of the symmetric moving average operator is decreased when the second derivative is large and increased when the second derivative is small. Parameters of the developed procedure are the minimum and maximum values of the moving average operator length. These values affect noise reduction levels independently in the transition and stable domains.
収録刊行物
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- 植物工場学会誌
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植物工場学会誌 8 (4), 237-243, 1996
日本生物環境工学会
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詳細情報 詳細情報について
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- CRID
- 1390282679357661696
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- NII論文ID
- 10024573235
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- NII書誌ID
- AN10451761
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- ISSN
- 18803555
- 09186638
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- NDL書誌ID
- 4088844
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
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- 抄録ライセンスフラグ
- 使用不可