- ...
function
^{3.1}
- In [Grassberger, 1986,Broggi, 1988], is kept constant so that
the correction function is a constant. It should be investigated
how the correction function can be incorporated.
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- ... unclear
^{3.2}
- Somorjai [Somorjai, 1986]
suggests to use expressions derived
by Fukunaga and Hostetler [Fukunaga and Hostetler, 1973] for the choice
of and . However, here we do not use
these expressions since for , and the dimension of
the Rössler attractor is very close to 2.
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- ... found
^{5.1}
- With data from an analog-to-digital converter
(ADC) one could use
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- ...
spectrum
^{7.1}
- The power spectrum was computed using NAG [Numerical Algorithms Group, 1983]
routine G13CAF, with mean correction, split cosine bell taper
coefficient 0.1 (as in the NAG example),
the Parzen window such that the
spectral density estimates have approximately
28 degrees of freedom,
which is close to the recommended value of 32 in [Beauchamp and Yuen, 1979].
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- ... conditions
^{7.2}
- This
problem may be avoided by using eq. (5.61)
instead of eq. (5.86).
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- ... matrix
^{7.3}
- We used the Euclidean norm here
in accordance with [Albano et al., 1988].
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- ...
themselves
^{7.4}
- Note that the number of distances is too large compared
to the length of the time series (see section 5.6.1). This problem
can be alleviated somewhat by multiplying the confidence intervals by
a factor , where is the number of distances drawn
and is the number of distances one is allowed to draw (see section
5.6.2). This will result in conservative confidence intervals.
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