A Family of Wavelets and ...
A Family of Wavelets and ...
A Family of Wavelets and ...
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transmission line is assumed to be totally transposed, with a<br />
distributed parameter model. The total simulation slot was<br />
eight cycles, <strong>and</strong> all faults (with zero fault impedance) were<br />
simulated four cycles after the start <strong>of</strong> simulation.<br />
Revista da Sociedade Brasileira de Telecomunicações<br />
Volume xx Número XX, xxxxx 2xxxx<br />
Figure 12. Voltage sample <strong>of</strong> a single-phase after a phasephase<br />
fault simulated by ATP for the transmission line<br />
shown in figure 11. A short transient occurred at four cycles<br />
after starting simulation.<br />
The wavelet analysis <strong>of</strong> the single-phase voltage signal<br />
shown in Fig.12 was carried out applying different complex<br />
wavelets as an attempt to locate the position where the fault<br />
start. Figure 13 <strong>and</strong> 14 illustrate the results <strong>of</strong> magnitude<br />
<strong>and</strong> phase-angle jump for two examples: "complex<br />
gaussian" <strong>and</strong> "de Oliveira" wavelets. It can be observed<br />
that cdeo can furnish nice time localisation properties.<br />
Figure 14. Modulus <strong>of</strong> C ab <strong>and</strong> coefficient line a=1 (left),<br />
Phase <strong>of</strong> C ab <strong>and</strong> coefficient line a=1 (right) for the signal<br />
(Fig. 12). Scale settings: Min.1, step 0.5, Max. 2; colourmap:<br />
"pink", number <strong>of</strong> colour: 256. Different complex<br />
analysing wavelets: (a) cdeo0.08333 (b) cdeo0.33333 .<br />
6. CONCLUSIONS<br />
Figure 13. Modulus <strong>of</strong> C ab <strong>and</strong> coefficient line a=1 (left),<br />
Phase <strong>of</strong> C ab <strong>and</strong> coefficient line a=1 (right) for the signal<br />
(Fig. 12). Scale settings: Min.1, step 0.5, Max. 2; colourmap:<br />
"pink", number <strong>of</strong> colour: 256. Different complex<br />
analysing wavelets: (a) cgau1 (b) cgau2.<br />
This paper introduced a new family <strong>of</strong> complex<br />
orthogonal wavelets, which was derived from the classical<br />
Nyquist criterion for ISI elimination in Digital<br />
Communication Systems. Properties <strong>of</strong> both the scaling<br />
function <strong>and</strong> the mother wavelet were investigated. This<br />
new wavelet family can be used to perform an orthogonal<br />
Multiresolution Analysis. A new function termed PCOS<br />
was introduced, which is <strong>of</strong>fered as a powerful tool in<br />
matters that concern raised cosines. An algorithm for the<br />
construction <strong>of</strong> MRA based on vestigial side b<strong>and</strong> filters<br />
was presented. A generalisation <strong>of</strong> the (square root) raised<br />
cosine wavelet was also proposed yielding a broad class <strong>of</strong><br />
orthogonal wavelets <strong>and</strong> MRA. These wavelets have been<br />
implemented on Matlab TM (wavelet toolbox) <strong>and</strong> an<br />
application to fault detection in transmission lines<br />
described. These new wavelets seem to be particularly<br />
suitable as natural c<strong>and</strong>idates to replace Sinc(.) pulses in<br />
st<strong>and</strong>ard OFDM systems. Our group is currently<br />
investigating this topic.<br />
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