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 in New York City. Part of the Cornell Tech Program.

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.