This class is cross-listed as:
Here are quick links to the homework, and to the textbook.
This course is an introduction to Fourier Analysis and Wavelets.
It has been specifically
designed for engineers, scientists, statisticians and mathematicians interested
in the basic mathematical ideas underlying Fourier analysis, wavelets and their
applications.
This course integrates the
classical Fourier theory with its latest offspring, the theory of wavelets.
Wavelets and Fourier analysis are invaluable tools for researchers in many
areas of mathematics and the applied sciences, to name a few:
signal processing, statistics, physics,
differential equations, numerical analysis, geophysics, medical
imaging, fractals, harmonic analysis, etc. It is their
multidisciplinary nature that makes these theories so appealing.
Topics will include:
Numerical experiments are important to fully understand the scope of the theory. We will let the students explore this realm according to their interests. The use of some Wavelet Toolbox will be encouraged. There exists a WAVELAB 850 package which is Matlab based software designed by a team at Stanford and available for free on the Internet. MATLAB 7.12.0 is available in the Mathematics and Statistics Department Computer Laboratory.
Textbook: We will use a book that I wrote with my colleague Lesley Ward from University of South Australia. The book is called Harmonic Analysis: From Fourier to Wavelets , Student Mathematical Library Series, Volume 63, American Mathematical Society 2012. I appreciate all the feedback I can get from you in terms of typos, erratas, and possible improvements for the second edition! Here is a list of errata so far compiled.
Grades: Grades will be based on homeworks, projects and/or exams.
Prerequisites: Linear algebra and advanced calculus, or permission from the instructor.
Recommended Texts:
The literature for Fourier Analysis and Wavelets is large,
here you will find a commented list of texts
There is a wealth of information available at
wavelet.org
Accomodation Statement: Accessibility Services (Mesa Vista Hall 20121, 277-3506) provides academic support to students who have dissabilities. If you think you need alternative accesible formats for undertaking and completing coursework, you should contact this service right away to assure your needs are met in a timely manner. If you need local assistance in contacting Accessibility Services, see the Bachelor and Graduate Programs office.
Academic Integrity: The University of New Mexico believes that academic honesty is a foundation principle for personal and academic development. All university policies regarding academic honesty apply to this course. Academic dishonesty includes, but is not limited to, cheating or copying, plagiarism (claiming credit for the words or works of another from any type of source such as print, Internet or electronic database, or failing to cite the source), fabricating information or citations, facilitating acts of academic dishonesty by others, having unauthorized possession of examinations, submitting work of another person or work previously used without informing the instructor, or tampering with the academic work of other students. The University's full statement on academic honesty and the consequences for failure to comply is available in the college catalog and in the Pathfinder.
Gender Discrimination: In an effort to meet obligations under Title IX, UNM faculty, Teaching Assistants, and Graduate Assistants are considered "responsible employee" by the Department of Education (see pg 15 - http://www2.ed.gov/about/offices/list/ocr/docs/qa-201404-title-ix.pdf ). This designation requires that any report of gender discrimination which includes sexual harassment, sexual misconduct and sexual violence made to a faculty member, TA, or GA must be reported to the Title IX Coordinator at the Office of Equal Opportunity (oeo.unm.edu). For more information on the campus policy regarding sexual misconduct, see: https://policy.unm.edu/university-policies/2000/2740.html
Return to: Department of Mathematics and Statistics, University of New Mexico
Last updated: August 16, 2016