EE32b: Log
of the lectures
Lecture 1 (Jan 3): Sections 8.1, 8.2, 8.3
Lecture 2 (Jan 8): Sections 8.4 and 8.5
Lecture 3 (Jan 10): Sections 8.6 and 8.7. Also an introduction
to the windowed Fourier transform and to the wavelet transform. Copied
notes (1) distributed in class on Jan 17.
Lecture 4 (Jan 17): Introduction to the wavelet transform.
See (1).
Lecture 5 (Jan 22): Conclusion of wt. Discussion of HW1.
Review of LTI system properties. Matlab code for demos
shown in class.
Lecture 6 (Jan 24): Section 9.1
Lecture 7 (Jan 29): Sections 9.2, 9.3
Lecture 8 (Jan 31): Section 9.3, 9.4
Lecture 9 (Feb 5): Sections 9.5, 9.6, 9.7 (except 9.7.5)
Lecture 10 (Feb 7): Section 9.8, 9.9, 10.1
Lecture 11 (Feb 12): 10.1, 10.2
Lecture 12 (Feb 14): 10.3 thru 10.6
Lecture 13 (Feb 21): Thru end of chapter 10
Lecture 14 (Feb 26): 11.0, 11.1, 11.2
Lecture 15 (Feb 28): more on 11.2, problem 11.60
Lecture 16 (March 5): more on problem 11.60, 11.3 (overview),
11.4 (mention). (Code of demo of sampled system).
Lecture 17 (March 7): diffusion equations for image processing:
linear and nonlinear ideas (Code
of demo of nonlinear diffusion).
(1) PP Vaidyanathan, I. Djokovic: An introduction
to wavelet transforms. The circuits and Filters Handbook, CRC Press
and IEEE Press, 1995. Pages 134-164. (Available from Ms. Catharine Stebbins
in Moore 104.)