## ECE 2704 Signals and Systems

#### Spring 2015 textbook list

The Spring 2015 ECE textbook list is available online for students.

#### Current Prerequisites & Course Offering

For current prerequisites for a particular course, and to view course offerings for a particular semester, see the Virginia Tech Course Timetables.

### ECE 2704 Signals and Systems (3C)

Analysis techniques for signals and systems. Signal representation, including Fourier and Laplace transforms. System definitions and properties, such as linearity, causality, time invariance, and stablility. Use of convolution, transfer functions and frequency response to determine system response. Applications to circuit analysis.

What is the reason for this course?

This course introduces the mathematical analysis tools needed for the study of signals, signal processing, system description, and system response. These tools include Fourier methods, LaPlace transforms, and frequency response concepts that constitute the fundamental analysis methods in all of engineering. It prepares students for further study in all areas of electrical engineering, but is especially critical in communications, control systems, and electronics.

Required for all EE and CPE majors. Typically offered: Fall, Spring, Summer I. Program Area: Systems/Controls.

Prerequisites: C- or better in 2004; C- or better in MATH 2214.

Why are these prerequisites or corequisites required?

This course requires the students to be familiar with basic circuit laws and network analysis techniques, to formulate and solve differential equations that describe circuits, and to understand the behavior of such descriptions subject to signal inputs. As these are the topics covered in EE 2005 and MATH 2214, these are prerequisites for this course.

### Department Syllabus Information:

Major Measurable Learning Objectives:
• Describe a physical process in terms of signals and systems and describe the properties of the system
• Calculate the Fourier series of a periodic signal
• Calculate the spectrum of a signal using the Fourier transform
• Solve a differential equation using the Laplace transform
• Calculate the steady state output of a system from the frequency response plots

Course Topics
Topic Percentage
Definition of signals, systems, and the properties of linearity, causality, time invariance, and stability 10%
Convolution representation 10%
Fourier series 15%
Fourier transforms and continuous-time filtering 20%
Laplace Transforms 20%
Transfer functions and frequency response 15%
Applications to circuits and other physical systems 10%