Lecture Notes

Handouts are available in Adobe Acrobat format (PDF). Hardcopies will be distributed in class and can be found in the class file cabinet.

  1. Lecture 1. Introduction to Digital Filtering (Reader, Slides)
  2. Lecture 2. Transform Domain (Reader, Slides)
  3. Lecture 3. A/D & D/A Conversion (Reader, Slides)
  4. Lecture 4. Simple Filters (Reader, Slides)
  5. Lecture 5. Analog and IIR Filters (Reader, Slides)
  6. Lecture 6. IIR Filters Continued (Reader, Slides)
  7. Lecture 7. Discrete Fourier Series & Transform, FIR Filters (Reader, Slides,Midterm Review)
  8. Lecture 8. FIR Filters continued, Rate Conversion, Polyphase Filtering (Reader, Slides)
  9. Lecture 9. Mixed Signal Processing, Stochastic Processes (Reader, Slides)
  10. Lecture 10.Stochastic Processes continued, Wiener Filtering (Reader, Slides)
  11. Lecture 11.Wiener Filtering continued, Spectral Factorization (Reader, Slides)
  12. Lecture 12. Linear Prediction and Adaptive Filtering I (Reader)
  13. Lecture 13. Adaptive Filtering II (Reader,)
  14. Additional Notes:. Spectral Factorization (Reader)
  15. Additional Notes:. Linear Prediction (Reader)
  16. Additional Problems: (Problems)
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Last updated Wed Aug 5 22:35:22 2009