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Dimension and entropy analysis of MEG time series from human α-rhythm

✍ Scribed by H. -R. Blank; M. Frank; M. Geiger; J. Heindl; M. Kaltenhäuser; W. Kreische; S. Poscher; R. Sporer; J. Vieth; P. Grummich; H. Kober

Book ID
112515069
Publisher
Springer
Year
1993
Tongue
English
Weight
602 KB
Volume
91
Category
Article
ISSN
1434-6036

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We show that the combined use of correlation dimension ðD 2 Þ and correlation entropy ðK 2 Þ 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