Math 19: Wavelet and Fourier Analysis
| Instructor |
Tanya Leise |
| Email |
tleise at amherst dot edu |
| Phone |
542-5411 |
| Office |
SMudd 503 |
| Office hours |
Drop in whenever my door is open
or make an appointment |
| Text |
Wavelet Analysis by David F. Walnut, corrected 2nd edition |
Course goals:
- Learn about Fourier series and pointwise, mean, and square-mean convergence
- Understand the implications and proof of the Sampling Theorem and the Uncertainty Principle
- Discover the advantages and disadvantages of using the Fourier transform to study a signal in the transform domain
- Develop intuition about Fourier analysis via computer labs (lots of visualization!)
- Learn about wavelets transforms and their advantages over Fourier analysis
- Understand multiresolution analysis and its application to image compression (again, lots of visualization in computer labs)
Attendance: You are
to be in class and to be there on time. Cooperative learning is more
effective
and more fun than struggling through material on your own. If you do
miss a lecture, it is your responsibility to obtain the material that
you
missed and to get your assignments handed in to me.
Questions:
If you
have a question during lecture, please raise your hand and ask it right
away.
Chances are that other students are wondering the same thing. If a
question
arises later, feel free to visit my office and we'll work through
sample
problems until you are comfortable with the mathematics.
Always feel free to ask me to slow down
as well.
Grading: Your course grade will be based on
the homework (20% total), three exams (35%), computer labs
(20%), in-class participation (10%), and a project (15%). I will try to keep
your grades entered in the Blackboard Gradebook in a timely manner; please check them occasionally and let me know if you find any discrepencies.
Intellectual Responsibility
- Homework. You may study with other students
following these guidelines:
- If you worked with or received help
from any source other than me, you should put a note on the front of
your homework saying, "I worked with <names>."
Make sure your name stands out as the author of your
homework.
- Working together does not mean that
one of you does the first half of the homework set and the other does
the second. Everyone should work on every problem.
- Each student must hand in his or her
own problem set. You may not hand in a single packet as the work of
multiple people.
- Do not copy someone else's
solution—you will not learn anything and it is plagiarism.
You may discuss problems with others, but then you must be
able to work out the solution on your own again and write it down
yourself.
- If you are unsure what agrees or
does not agree with the precepts of intellectual responsibility in this
course, feel free to talk to me about it.
Homework Guidelines
- All problem sets are due in class on the due date.
Late homework will receive half credit.
- If you are unable to attend class due
to illness or an emergency, let me know as soon as you can and we will
work out an appropriate schedule for assignments--I am quite lenient in giving extensions IF you notify me in a timely manner.
- Your name should be written on all
sheets handed in.
- Problem solutions must be written out
in the order they were assigned.
- Multiple pages must be stapled or clipped together.
- Homework should be neat.
No dog ears. No messy edges
from notebook paper.
- In general, try
to make your answers readable and easy to understand.
Course Resources:
Don't struggle alone! You have many options for
getting help
with this course.
- Me. Feel free to come to my office hours,
make an appointment by email or phone, or simply try stopping by my
office—you are welcome whenever my door is open. If
you have some anxiety about taking math exams, please come see me and
we can work together on building your math confidence.
- Homework. Mathematics
is learned ACTIVELY, not passively. You
can't absorb math through listening or reading, even if you think you
understand it all.
- Textbook. I won't go over everything that is
contained in the text, and I will try to avoid doing the same examples. Hence your textbook in an important
independent source of information and you should read it!
- Lecture notes. Reviewing the notes you take in lecture
will give you a chance to see the material again after you have had
some time to assimilate it.
- Your classmates. Discussing math with others can help you
think through the concepts. Explaining an
idea you already understand will deepen your comprehension, and for the
concepts that you don't understand well, the explanation of a peer may
be more helpful than mine or the textbook's.
- Library resources. There are other texts on Fourier analysis and wavelets in the science library, and it may be helpful to look at some of these if you find the textbook unhelpful on a topic.
- Mathematica will be used in the computer labs and is an important ingredient in this course. It is available on all
college-owned computers, and is already installed in all of the public
labs, e.g. in on the first floor of Seeley Mudd. Mathematica
isn't available for student-owned computers for free; you can purchase
a copy through the UMass Bookstore or directly from Wolfram for the
same price. Other options are Wolfram's "timed" licenses, 6- and
12-month licenses ($50 and $70, respectively). See
http://www.wolfram.com/products/student/mathforstudents/index.html.