2018-2019 Undergraduate Bulletin

MAT 365 The Mathematics of Signal Processing

3 hours

This course focuses on the mathematical formulation and development of methods used in signal and image processing. Topics covered in this course include vector space models of signals and images, the discrete Fourier transform, the discrete cosine transform, frequency domain representation of images, convolution, filtering, filter banks and an introduction to wavelets.

Credits

3

Prerequisite

ENG 201, MAT 243, MAT 310