ELE 3320 - Digital Signal Processing

2 lecture hours 2 lab hours 3 credits

Course Description
This course is an introduction to the field of digital signal processing. It begins by examining the theory that governs the sampling and reconstruction of continuous-time signals. Fundamental principles of discrete-time signals and systems, including analysis and representations in both time and frequency domains, are covered. The course then examines foundational DSP topics and techniques including the discrete Fourier transform, fast Fourier transform, FIR and IIR filtering, and design of digital filters. Lecture topics are reinforced and extended through laboratory experiments utilizing industry-standard software tools and real-time DSP hardware platforms.
Prereq: ELE 3300 and (CSC 1310 or CPE 2600 or ELE 1601 or ELE 2801) (quarter system prereq: EE 3032, EE 1910 or EE 3910B or CE 2812 or EE 2905 or BE 2200)
Note: None
This course meets the following Raider Core CLO Requirement: None

Course Learning Outcomes
Upon successful completion of this course, the student will be able to:

Interpret and apply the sampling theorem
Interpret and apply properties of discrete-time signals and systems
Determine and interrelate the characteristics of a discrete-time system such as its impulse response, transfer function, poles and zeros, frequency response, and stability
Apply time-domain and frequency-domain analysis techniques to solve discrete-time signals and systems problems
Apply DFT/FFT computation principles to perform spectral analysis of real-world signals
Design FIR and IIR filters, including using computer-aided design techniques
Describe the characteristics of IIR and FIR filters, including practical advantages and disadvantages
Implement and verify the operation of digital filters on processors appropriate for real-time DSP

Prerequisites by Topic

Continuous-time signals and systems theory
Laplace and continuous-time Fourier transforms
Procedural programming in C (or similar)

Course Topics

Impulse-train sampling and sampling theory
Discrete-time signals and systems
Time-domain analysis of discrete-time systems
Z-transform
Frequency-domain analysis of discrete-time systems
Discrete-time Fourier transform
Discrete Fourier transform, Fast Fourier transform
DFT windowing
IIR and FIR digital filter design

Laboratory Topics

MATLAB introduction
Introduction to real-time DSP
Sampled audio and quantization error
Signal generation and aliasing
Analog input and output
Image processing
Discrete filters and frequency response
System poles and zeros
Notch filters and interference removal
Data windowing
FIR filter design and implementation
Comparison of filter design approaches

Coordinator
Dr. Cory J. Prust

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