Math 416 Description and Prerequisites
Math 416,
Applied Harmonic Analysis: An Introduction to Signal Processing (3 credits)
The goal of this course is to introduce the students to the modern mathematical
techniques which are applied in signal processing and which are used in a variety
of areas, ranging from engineering to medicine and finance. Topics include:
Applied Linear Algebra, Fourier Series, Discrete Fourier Transform, Fourier
Transform, Shannon Sampling Theorem, Wavelet Bases, Multiresolution Analysis,
and Discrete Wavelet Transform. Emphasis will be placed upon mathematical
foundations of applicable algorithms, as well as on the ability to implement
these algorithms.
More detailed outlines of some of the topics to covered can be found
below and at
http://www.math.umd.edu/undergraduate/courses/syllabi/syllabusMATH416.html .
Course Prerequisites
- a C- of better in Math 141 and Math 240;
- or a C- of better in Math 141 and Math 461;
- or a C- of better in Math 341;
Familiarity with MATLAB is also required.
