Toolbox Reference Manual - TOCSY - Toolbox for Complex Systems ...
Toolbox Reference Manual - TOCSY - Toolbox for Complex Systems ...
Toolbox Reference Manual - TOCSY - Toolbox for Complex Systems ...
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General In<strong>for</strong>mation<br />
Lmax and divergence<br />
entropy<br />
L max = max ({l i ; i = 1 . . . N l }) respective DIV = 1<br />
L max<br />
,<br />
N<br />
∑<br />
ENTR = − p(l) ln p(l) with p(l) =<br />
l=l min<br />
laminarity (Marwan et al., 2002)<br />
LAM = ∑N v=v min<br />
vP ε (v)<br />
∑ N v=1 vPε (v) ,<br />
P ε (l)<br />
∑ N l=l min<br />
P ε (l) ,<br />
(where P ε (v) = {v i ; i = 1 . . . N v } denotes the frequency distribution of<br />
the lengths l of vertical structures)<br />
trapping time<br />
TT = ∑N v=v min<br />
vP ε (v)<br />
∑ N v=v min<br />
P ε (v) ,<br />
recurrence times of first type (Gao and Cai, 2000)<br />
T 1 j = ∣ ∣ { i, j : ⃗x i ,⃗x j ∈ R i<br />
}∣ ∣ ,<br />
recurrence times of second type<br />
T 2 j<br />
= ∣ ∣ { i, j : ⃗x i ,⃗x j ∈ R i ; ⃗x j−1 ̸∈ R i<br />
}∣ ∣<br />
(where R i are the recurrence points which belong to the state ⃗x i ).<br />
Further quantifiers are based on complex network theory, as clustering<br />
coefficient (Marwan et al., 2009)<br />
with RR i = ∑ N j=1 Rm, ε<br />
i,j<br />
transitivity<br />
C =<br />
N<br />
∑<br />
i=1<br />
∑ N j,k=1 Rm, ε<br />
i,j<br />
R m, ε<br />
j,k Rm, ε<br />
k,i<br />
RR i<br />
the local recurrence rate, or<br />
C = ∑N i,j,k=1 Rm, ε<br />
i,j<br />
R m, ε<br />
∑i,j,k=1 N Rm, ε<br />
i,j<br />
R m, ε<br />
k,i<br />
j,k Rm, ε<br />
k,i<br />
Above definitions are <strong>for</strong> the entire recurrence plot (or <strong>for</strong> squared windows<br />
in it, reveiling some time dependencies). But most of these measures<br />
can be quantified <strong>for</strong> each diagonal line (parallel to the main diagonal)<br />
as well, which is even interesting <strong>for</strong> cross recurrence plots, <strong>for</strong><br />
example<br />
.<br />
4 <strong>Reference</strong> <strong>Manual</strong>