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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 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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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ISSN: | 0304-4289 0973-7111 |
DOI: | 10.1007/BF02827599 |