Wavelet & Fourier Anal

Fall 2011

Wavelet and Fourier Analysis

Listed in: Mathematics and Statistics, as MATH-320

Formerly listed as: MATH-19

Faculty

Tanya L. Leise (Section 01)

Description

The first half of the course covers continuous and discrete Fourier transforms (including convolution and Plancherel’s formula), Fourier series (including convergence and the fast Fourier transform algorithm), and applications like heat conduction along a rod and signal processing. The second half of the course is devoted to wavelets: Haar bases, the discrete Haar transform in 1 and 2 dimensions with application to image analysis, multiresolution analysis, filters, and wavelet-based image compression like JPEG2000. Three class hours per week plus a weekly one-hour computer laboratory.

Requisite: MATH 211 and 271 or 272.  Fall semester.  Professor Leise.

Keywords

Quantitative Reasoning

Course times and locations

MATH 320 - LEC

Section 01
M 09:00 AM - 09:50 AM SMUD 202
W 09:00 AM - 09:50 AM SMUD 202
F 09:00 AM - 09:50 AM SMUD 202

MATH 320 - LAB

Section 01
Tu 09:00 AM - 09:50 AM SMUD 014

Textbooks

Below are the textbooks used in this course, along with pricing information and availability at local bookstores. The price range shown is based upon queries to multiple online booksellers; click on the the price field to see detailed pricing information.

This is preliminary information about books for this course. Please contact your instructor or the Academic Coordinator for the department, before attempting to purchase these books.

ISBN	Title	Publisher	Author(s)	Book Store	Price
0470388404	Wavelet Theory: An Elementary Approach with Applications	Wiley-Interscience	Ruch and Van Fleet	Amherst Books	TBD

These books are available locally at Amherst Books.

Offerings

2022-23: Not offered
Other years: Offered in Fall 2007, Fall 2009, Fall 2011, Fall 2013, Fall 2015, Fall 2017, Fall 2019