CSCE 5222 - Feature Engineering

3 hours

Focused on applied signal processing across a variety of modalities including still images and video, audio signals, sensor signals, and natural extensions to other rich multidimensional signals. Students are introduced to computer and simplified biological visual and auditory processing models. This includes signal transduction, edge detection and segmentation. Spectral representations include fourier and various wavelet decompositions useful in making inferences from signals. The progression from 1D audio to 2D images and (3D) video representations instill the intuitions necessary to process a variety of potential, rich sensor signals.

Prerequisite(s): None.

Course specific fees (in addition to tuition and mandatory):
Academic (AF) per hour: $73.70