Information Signals

Signals that carry information, e.g. sound, images, sensors, radar, communication, robotic control, play a central role in technology and engineering. This course teaches mathematical tools to analyze, manipulate, and preserve information signals. We discuss how continuous signals can be perfectly represented through sampling, leading to digital signals. Major focus points are the Fourier transform, linear time-invariant systems, frequency domain, and filtering. We use MatLab for laboratory exercises. Three lectures, one laboratory.