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Spectral Analysis and Time Series - max planck research school ...

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A. Lagg – <strong>Spectral</strong> <strong>Analysis</strong><br />

Discretization of CWT: Wavelet <strong>Series</strong><br />

­> sampling the time – frequency (or scale) plane<br />

advantage:<br />

sampling high for high frequencies (low scales)<br />

scale s <strong>and</strong> 1 rate N 1<br />

sampling rate can be decreased for low<br />

frequencies (high scales)<br />

scale s 2<br />

<strong>and</strong> rate N 2<br />

N 2<br />

= s 1<br />

s 2<br />

N 1<br />

N 2<br />

= f 2<br />

f 1<br />

N 1<br />

continuous wavelet<br />

discrete wavelet<br />

, s<br />

= 1 s t−<br />

s t = s − j/2 −<br />

j , k 0<br />

s j 0<br />

t−k 0<br />

, j , k<br />

x<br />

j , k =∫<br />

t<br />

xt = c ∑<br />

j<br />

*<br />

xt j , k<br />

tdt<br />

∑<br />

k<br />

x<br />

j , k j , k<br />

t<br />

orthonormal<br />

WL­transformation<br />

reconstruction of<br />

signal

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