EO3402 Signals and Noise

A course in the rudiments of modern signal processing for naval officers in non-electrical engineering curricula. Topics include signal processing in the frequency domain using the DFT and FFT, random signals, their description and processing. Applications to signal detection, demodulation, filtering, beamforming, target tracking, and other relevant naval and military operations.

Prerequisite

EO2402 and OS2103 or equivalent

Lecture Hours

3

Lab Hours

1

Course Learning Outcomes

1. Develop the ability to characterize, analyze and extract information from random signals. 
2. Learn to be able to characterize stationary random processes from a second moment viewpoint in the time domain and frequency domains as they are processed through linear systems. Develop an understanding for Gaussian white noise.
3. Learn to characterize random signals from a second moment viewpoint as they are processed through discrete linear systems.
4. Learn how to evaluate the behavior of signals from the time and the frequency domains, and how multiple signals are related to each other using (cross) correlation and (cross) covariance information.
5. Understand the principle of matched filtering and learn to apply it to simple problems of signal detection. 
6. Learn the basic principles of detection theory and be able to apply to a single observation case.