From: Subject: The Wavelet Transform Date: Sun, 21 Dec 2008 12:08:21 -0600 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0123_01C96364.D104C540" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3350 This is a multi-part message in MIME format. ------=_NextPart_000_0123_01C96364.D104C540 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.eso.org/sci/data-processing/software/esomidas//doc/user/98NOV/volb/node308.html The Wavelet Transform 3Dnext=20 3Dup=20 3Dprevious=20 3Dcontents=20
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The Wavelet Transform =


 =20
  • Introduction=20
  • The continuous wavelet transform=20
  • Examples of Wavelets=20
    • Morlet's Wavelet=20
      • Mexican Hat
  • The discrete wavelet transform=20
    • Introduction=20
    • Multiresolution Analysis=20
    • The =E0 trous algorithm
    • Pyramidal Algorithm=20
      • The Laplacian Pyramid=20
      • Pyramidal Algorithm with one Wavelet =
    • Multiresolution with scaling functions with a = frequency=20 cut-off=20
      • The Wavelet transform using the Fourier = transform=20
      • The Reconstruction
  • Visualization of the Wavelet Transform=20
    • Visualisation of the first class=20
    • Visualisation of the second class=20
    • Visualisation of the third class
  • Noise reduction from the wavelet transform=20
    • The convolution from the continuous wavelet = transform=20
    • The Wiener-like filtering in the wavelet = space=20
    • Hierarchical Wiener filtering=20
    • Adaptive filtering from the wavelet = transform=20
    • Hierarchical adaptive filtering
  • Comparison using a multiresolution quality = criterion=20
  • Deconvolution=20
    • Introduction=20
    • Regularization in the wavelet space=20
    • Tikhonov's regularization and multiresolution = analysis=20
    • Regularization from significant structures=20
      • Regularization of Van Cittert's algorithm=20
      • Regularization of the one-step gradient = method=20
      • Regularization of Lucy's algorithm=20
      • Convergence
  • The wavelet context in MIDAS=20
    • Introduction=20
    • Commands Description=20
      • TRANSF/WAVE=20
      • RECONS/WAVE=20
      • HEADER/WAVE=20
      • INFO/WAVE=20
      • EXTRAC/WAVE=20
      • ENTER/WAVE=20
      • VISUAL/WAVE=20
      • VISUAL/CUB=20
      • VISUAL/CONT=20
      • VISUAL/SYNT=20
      • VISUAL/PLAN=20
      • VISUAL/PERS=20
      • FILTER/WAVE=20
      • COMPAR/WAVE=20
      • PLOT/SNR=20
      • PLOT/COR=20
      • DIRECT/WAVE=20
      • CITTERT/WAVE=20
      • GRAD/WAVE=20
      • LUCY/WAVE=20
      • TUTORIAL/WAVE=20
      • TRAN1D/WAVE=20
      • REC1D/WAVE =

Petra Nass
1999-06-15 =
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