Lecture Overheads for Stat/EE 530

  1. introduction to wavelets: in format suitable for printing (same format as presented in class);
  2. qualitative description of discrete wavelet transform: in format suitable for printing (same format as presented in class);
  3. Fourier and filtering theory: in format suitable for printing; in format presented in class (NOT suitable for printing!);
  4. defining the discrete wavelet transform (DWT): in format suitable for printing; in format presented in class;
  5. maximal overlap discrete wavelet transform (MODWT): in format suitable for printing; in format presented in class;
  6. Daubechies wavelet/scaling filters: in format suitable for printing; in format presented in class;
  7. examples of DWT & MODWT analysis: in format suitable for printing (same as format presented in class);
  8. wavelet packet transforms and best bases: in format suitable for printing; in format presented in class;
  9. matching pursuit: in format suitable for printing; in format presented in class;
  10. wavelet variance: in format suitable for printing (same as format presented in class);
  11. wavelet-based signal extraction and denoising: in format suitable for printing (same as format presented in class);
  12. wavelet-based analysis and synthesis of long memory processes: in format suitable for printing (same as format presented in class);
  13. continuous wavelet transforms: in format suitable for printing (same as format presented in class);

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