ELE 314 Linear Systems and Signals

Continuous-time and discrete-time systems, frequency response, stability criteria, Laplace transforms, z-transforms, filters, sampling, feedback, and applications. (Lec. 3 credits) Pre: ELE 313 or permission of instructor.

2019 Summer Session II (June 24 - July 26):   MWF 6:00-8:20 pm; Quinn 219
Instructor: Prof. Ying Sun <yingsun@uri.edu>

ABET Student Learning Outcomes
  A:  ability to apply knowledge of mathematics, science, and engineering.
  E:  ability to identify, formulate, and solve engineering problems.
  K:  ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.
  L:   ability to question approaches, procedures, tradeoffs, and results related to engineering problems.

Course syllabus: Summer 2019.
Class handouts.
Sample exams: Exam #1. Exam #2. Exam #3.     Solutions: #1. #2. #3.
Homework assignments (PDF): #1, #2, #3, #4, #5.
Homework assignments (DOC): #1, #2, #3, #4, #5.
Homework assignments (SVG): #2, #3, #4, #5.
Useful freeware: OpenOffice, Inkscape, GIMP.
Online calculators: graphing calculator, Bode plot, calculator, roots, partial-fraction, LT, ILT.
Useful online resources: OpenOffice equations, PDF compressor, Filter design.

Online Section:
  • July 15 (Monday): Exam #2 by email; July 17 (Wednesday): TBA.

YouTube Videos:
  • Class03 (1 hr 59 min) - Flowchart of analysis, Pole-zero plot and differential equation.
  • Class04 (2 hr 03 min) - Summary of Linear Transforms, Z-Transform and digital systems
  • Class05 (2 hr 07 min) - Properties of z-transforms, Classic analog filters
  • Class06 (1 hr 55 min) - HW#4, Circuit 2a: RLC, Digital filters
  • Class07 (38 min) - Exam #2, Signal flow graphs of digital filters
  • Class08-1 (57 min) Tables of LT and ZT, Properties of z-transforms, Methods to evaluate inverse z-transforms
  • Class08-2 (54 min) Methods to evaluate inverse z-transforms, Artificial neural networks
  • Class09 (1 hr 56 min) Root locus analysis, an example of positive feedback in amplifier design, State space analysis
  • Class10-1 (59 min) DFT, Fast Fourier transform (FFT), HW#5
  • Class10-2 (29 min) State space analysis