Math 118 - Fourier Analysis, Wavelets and Signal Processing

Instructor: Jon Wilkening

Lectures: TTh 2-3:30, Room 2 Evans

Course Control Number: 54290

Office: 1091 Evans

Office Hours: Monday 10:30-11:55 AM, Tues 3:45-5:00 PM

Prerequisites: Math 53 and 54 or equivalent

Required Text: A First Course in Wavelets with Fourier Analysis, 2nd Edition, by Boggess and Narcowich

Recommended Reading:
Wavelets Made Easy, by Yves Nievergelt
A Wavelet Tour of Signal Processing, by Stephane Mallat

Syllabus: This course will cover the basic mathematical theory and practical applications of Fourier analysis and wavelets, including one-dimensional signal processing and multi-dimensional image processing:

Course Webpage: I will post handouts and assignments on B-Space. Please e-mail me if you do not have access to the B-Space page.

homework: 50% (2 lowest scores dropped)
Midterm: 20% Tues, March 8, in class
Final exam: 30% Mon, May 9, 11:30-2:30

Homework: 12 assignments, some involving programming in Matlab