CS 5660 - [Signal Processing]

Fall. 3 credits.

Prerequisite: Some familiarity with linear algebra and statistics (at the level taught in a freshman course), or permission of instructor. Offered at Cornell Tech in New York City.

Staff.

Prediction, smoothing and filtering of 1D signals, with an emphasis on data from mobile devices (e.g. accelerometry, audio, GPS). Fundamentals of time series analysis. Image analysis and enhancement techniques, including deblurring, registration, segmentation and recognition. Methods that scale to very large image collections. Programming in Matlab, Octave or Python.