We show that the combined use of correlation dimension Γ°D 2 Γ and correlation entropy Γ°K 2 Γ as discriminating measures can extract a more accurate information regarding the different types of noise present in a time series data. For this, we make use of an algorithmic approach for computing D 2 and
β¦ LIBER β¦
Efficient use of correlation entropy for analysing time series data
β Scribed by K. P. Harikrishnan; R. Misra; G. Ambika
- Book ID
- 107588538
- Publisher
- Springer-Verlag
- Year
- 2009
- Tongue
- English
- Weight
- 195 KB
- Volume
- 72
- Category
- Article
- ISSN
- 0304-4289
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