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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>

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