Math 118 - Fourier Analysis, Wavelets and Signal Processing

Instructor: Jon Wilkening

Lectures: TTh 11-12:30, Room 71 Evans

Course Control Number: 54491

Office: 1091 Evans

Office Hours: Tues 9:45-10:45, Tues 3-4

Prerequisites: Math 53 and 54 or equivalent

Required Text: A First Course in Wavelets with Fourier Analysis, 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: http://math.berkeley.edu/~wilken/118.S09

Grading:
homework: 50%
Midterm: 20% Tues, March 10, in class
Final exam: 30% Tues, May 19, 8-11 AM, 4 Evans. (2 pages of notes allowed.)

Homework: 8-10 assignments, some involving programming in Matlab