ELEG 305 - Signals and Systems

Credit(s): 3

SIGNALS AND SYSTEMS
Component: Lecture
Introduction to signals and systems, with an emphasis on time and frequency characterization of linear, time-invariant systems. Covers discrete and continuous time signals and systems, Fourier series, ideal filters, sampling theory, and the Fourier, Laplace, and Z transforms. The transforms enable the analysis of systems described by differential and difference equations. Application examples include audio and image processing, biology and biomedicine, computer networks, data science, electrical and electronic circuits, machine learning, neuroscience, and remote sensing.
Repeatable for Credit: N Allowed Units: 3 Multiple Term Enrollment: N Grading Basis: Student Option

PREREQ: A minimum grade of C- or better in MATH 242.

Course Typically Offered: Spring

General Education Objectives:
GE5A: Reason Quantitatively GE5B: Reason Computationally GE5C: Reason Scientifically