Noise reduction in chaotic time series data

With a prescription for an ‘effective noise’ in the given noisy chaotic time series and searching out ‘similar’ strings of data, we give a simple method of ‘cleaning’ the data by an iterative process converging with decreasing length of the string. This has been found efficient even for small amount...

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Published in:Pramāṇa 1999-01, Vol.52 (1), p.25-37
Main Authors: Bhowal, A., Roy, T. K.
Format: Article
Language:English
Subjects:
Noise reduction
Strings
Time series
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description With a prescription for an ‘effective noise’ in the given noisy chaotic time series and searching out ‘similar’ strings of data, we give a simple method of ‘cleaning’ the data by an iterative process converging with decreasing length of the string. This has been found efficient even for small amount of data.
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0973-7111
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source Indian Academy of Sciences; Springer Nature
subjects Noise reduction
Strings
Time series
title Noise reduction in chaotic time series data
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