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📄 an introduction to wavelets what do some wavelets look like.htm

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  <P>
  <H3><FONT size=8>W</FONT>hat do <FONT size=6>S</FONT>ome <FONT 
  size=6>W</FONT>avelets <FONT size=6>L</FONT>ook <FONT size=6>L</FONT>ike?</H3>
  <P>
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  <P>Wavelet transforms comprise an infinite set. The different wavelet families 
  make different trade-offs between how compactly the basis functions are 
  localized in space and how smooth they are. 
  <P>Some of the wavelet bases have fractal structure. The Daubechies wavelet 
  family is one example (see Figure 3). 
  <P>
  <UL><IMG alt=Fig3 
    src="An Introduction to Wavelets What Do Some Wavelets Look Like.files/IW_fig3.gif" 
    align=top></UL>
  <P><B>Fig. 3. The fractal self-similiarity of the Daubechies mother 
  wavelet.</B> This figure was generated using the <A 
  href="http://playfair.stanford.edu/~wavelab">WaveLab</A> command: 
  <TT>wave=MakeWavelet(2, -4, 'Daubechies', 4, 'Mother', 2048).</TT> The inset 
  figure was created by zooming into the region <EM>x</EM>=1200 to 1500. 
  <P>Within each family of wavelets (such as the Daubechies family) are wavelet 
  subclasses distinguished by the number of coefficients and by the level of 
  iteration. Wavelets are classified within a family most often by the 
  <EM>number of vanishing moments.</EM> This is an extra set of mathematical 
  relationships for the coefficients that must be satisfied, and is directly 
  related to the number of coefficients <A 
  href="http://www.amara.com/IEEEwave/IW_ref.html#one">(1)</A>. For example, 
  within the Coiflet wavelet family are Coiflets with two vanishing moments, and 
  Coiflets with three vanishing moments. In Figure 4, I illustrate several 
  different wavelet families. 
  <P>
  <UL><IMG alt=Fig4 
    src="An Introduction to Wavelets What Do Some Wavelets Look Like.files/IW_fig4.gif" 
    align=top></UL>
  <P><B>Fig. 4. Several different families of wavelets.</B> The number next to 
  the wavelet name represents the number of vanishing moments (A stringent 
  mathematical definition related to the number of wavelet coefficients) for the 
  subclass of wavelet. Note: These figures were created using <A 
  href="http://playfair.stanford.edu/~wavelab">WaveLab,</A> by typing: 
  <P><TT>wave = MakeWavelet(2,-4,'Daubechies',6,'Mother', 2048);<BR>wave = 
  MakeWavelet(2,-4,'Coiflet',3,'Mother', 2048);<BR>wave = 
  MakeWavelet(0,0,'Haar',4,'Mother', 512);<BR>wave = 
  MakeWavelet(2,-4,'Symmlet',6,'Mother', 2048); <BR></TT>
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  <P><B><A href="http://www.amara.com/index.html">[Home]</A> <A 
  href="http://www.amara.com/current/wavelet.html">[Wavelet Page]</A> <A 
  href="http://www.amara.com/IEEEwave/IEEEwavelet.html#contents">[Contents]</A> 
  <A href="http://www.amara.com/IEEEwave/IW_wave_vs_four.html">[Previous]</A> <A 
  href="http://www.amara.com/IEEEwave/IW_wave_ana.html">[Next]</A> </B>
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  <P>
  <H5>You may <A 
  href="http://www.amara.com/ftpstuff/IEEEwavelet.ps.gz">download</A> this 
  paper: "Introduction to Wavelets" </H5>
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        <ADDRESS>Last Modified by <A href="mailto:amara@amara.com">Amara 
        Graps</A> on 8 October 1997.<BR>&copy; Copyright Amara Graps, 1995-1997. 
        </ADDRESS></BASEFONT></TD></TR></TBODY></TABLE></CENTER></BLOCKQUOTE></BODY></HTML>

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