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)
  8. Midterm Review (Slides)
  9. Lecture 8. FIR Filters continued, Rate Conversion, Polyphase Filtering (Reader, Slides)
  10. Lecture 9. DFT continued, Rate Conversion (Reader, Slides)
  11. Lecture 10. Mixed Signal Processing, Stochastic Processes (Reader, Slides)
  12. Lecture 11. Stochastic Processes continued, Wiener Filtering (Reader, Slides)
  13. Lecture 12. Wiener Filtering continued, Spectral Factorization (Reader)
  14. Lecture 13. Adaptive Filtering (Newton and LMS) (Reader)
  15. Additional Notes: Spectral Factorization and Linear Prediction (Reader 1, Reader 2)
  16. Additional Notes 2: Adaptive Filtering II, RLS (Reader)
Valid CSS! Valid HTML 4.01 Transitional
Last updated Thu Aug 14 18:56:55 2008