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Biomedical Signal and Image Processing

Graduate · Historical course

Spring 2007

Topics

  • Lecture 1: data acquisition
  • Lecture 2: digital filtering
  • Lab 0: fundamentals of MATLAB®
  • Lecture 3: ECG
  • Lecture 4: DTFT
  • Lab 1A: ECG
  • Lecture 5: DFT
  • Lab 1B: ECG
  • Lecture 6: sampling revisited
  • Lecture 7: speech signals
  • Lab 1C: ECG
  • Lecture 8: speech coding
  • Lecture 9: image processing I
  • Lab 2A: speech coding
  • Lecture 10: PDFs
  • Lecture 11: classification
  • Lab 2B: speech coding
  • Lecture 12: image processing II
  • Lab 2C: speech coding
  • Lecture 13: estimating PDFs
  • Lecture 14: segmentation
  • Lab 3A: image segmentation
  • Lecture 15: image registration I
  • Lecture 16: image registration II
  • Lab 3B: image segmentation
  • Lecture 17: imaging modalities
  • Lab 4A: image registration
  • Lecture 18: random signals I
  • Lecture 19: random signals II
  • Lab 4B: image registration
  • Lecture 20: blind source separation
  • Lecture 21: MRI
  • Lab 5A: blind source separation
  • Lecture 22: surgical applications
  • Lab 5B: blind source separation
  • Lecture 23: random signals III
  • Lecture 24: end-of-term wrap-up
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