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Development of a wavelet-based algorithm to detect and determine ...

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6.2. BASIC IDEAS OF THE WAVELET TRANSFORM 38<br />

�<br />

+∞<br />

−∞<br />

Equation 6.3 is called the admissible condition.<br />

ψ(t)dt = 0 (6.3)<br />

The admissible condition is quite lenient so that there are a lot <strong>of</strong> <strong>wavelet</strong>s, which can<br />

be discrete or continuous, real or complex functions. Figure 6.2 shows three different<br />

<strong>wavelet</strong>s as examples. The Haar <strong>wavelet</strong> (the simplest <strong>wavelet</strong>) <strong>and</strong> the Db2 <strong>wavelet</strong><br />

(one <strong>of</strong> Daubechies <strong>wavelet</strong>s) are discrete while the Mexican Hat <strong>wavelet</strong> is continuous.<br />

The continuous <strong>wavelet</strong>s are described with formulas, but the discrete <strong>wavelet</strong>s nor-<br />

mally have no direct formulas <strong>and</strong> are given through discrete filters.<br />

Figure 6.2: Examples <strong>of</strong> <strong>wavelet</strong>s<br />

Mother <strong>wavelet</strong>, <strong>wavelet</strong> family <strong>and</strong> <strong>wavelet</strong> domain: Any <strong>wavelet</strong> can be taken<br />

as a mother <strong>wavelet</strong>. A mother <strong>wavelet</strong> generates a <strong>wavelet</strong> family by scaling <strong>and</strong><br />

translating. All members in one <strong>wavelet</strong> family have the same energy <strong>and</strong> the similar<br />

waveform as the mother <strong>wavelet</strong>.<br />

Let ψ(t) denote a mother <strong>wavelet</strong>, the corresponding <strong>wavelet</strong> family ψab(t) is defined<br />

as Equation 6.4:<br />

ψab(t) = a −1/2 � �<br />

t − b<br />

· ψ<br />

a<br />

(6.4)<br />

Where a represents "scale" <strong>and</strong> b represents "translation". Figure 6.3 displays the re-<br />

lation between a mother <strong>wavelet</strong> (Morlet <strong>wavelet</strong>) <strong>and</strong> it’s family. It can be seen that

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