EC2410: Analysis of Signals and Systems  NPS Online
Analysis of Signals and Systems
Course #EC2410
Est.imated Completion Time: 3 months
POC: NPS Online Support
Overview
Analysis of digital and analog signals in the frequency domain; properties and applications of the discrete Fourier transform, the Fourier series, and the continuous Fourier transform; analysis of continuous systems using convolution and frequency domain methods; applications to sampling, windowing, and amplitude modulation and demodulation systems.
Prerequisites
 MA1113
Learning Outcomes
· Given a continuous signal, determine the effects of sampling in time.
· Be able to define the minimum sampling frequency to avoid aliasing when discretizing a continuous signal
· Given a dynamic system, determine if it is Linear Time Invariant (LTI);
· Given a LTI system, compute the response by convolution;
· Given a periodic signal, determine its Fourier Series expansion;
· Given a continuous time signal, compute its Fourier Transform;
· Given a continuous time signal, compute the Fourier Transform using the tables and the properties;
· Given a system, characterize it in terms of its frequency response;
· Apply the properties of the Fourier Transform to basic modulation and demodulation problems;
· Develop the ability to recognize and characterize simple discrete random processes in the time domain.
· Learn to be able to fully characterize stationary discrete random processes from a second moment viewpoint in the time domain and frequency domains. Develop an understanding for Gaussian white noise for 1 and Ndimensional random vectors.
· Learn to characterize random signals from a second moment viewpoint as they are processed through discrete linear systems. Also learn to characterize simple linear transformations for continuous signals in time and frequency domains.
· Learn how to deal with uncertainty in estimated parameters via confidence intervals.
Other Information
Ability to program in MATLAB is required.
Application Deadlines

08 Jul 2024
Fall Quarter applications due
Academic Calendar
No upcoming events.