Summer 2018 - ENSC 429 D100
Digital Signal Processing (4)
Class Number: 1102
Delivery Method: In Person
Overview
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Course Times + Location:
May 7 – Aug 3, 2018: Wed, Fri, 2:30–4:20 p.m.
Burnaby
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Instructor:
Daniel Lee
dchlee@sfu.ca
1 778 782-7039
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Prerequisites:
(ENSC 327 or ENSC 328), (ENSC 380 or MSE 280), and a minimum of 80 units.
Description
CALENDAR DESCRIPTION:
Discrete time signals and systems, sampling and quantization. The Discrete Fourier Transform and fast transforms. Digital filters, IIR and FIR, design procedures and implementations. Quantization noise in digital filters and transforms. Random signals, the response to linear systems to random signals. Introduction to adaptive systems. Introduction to system architectures for digital signal processing. Laboratory work includes familiarization with digital signal processing software packages.
COURSE DETAILS:
Contents
- Emphasis on theory, not implementation. If you want to learn how to implement a DSP chip, etc., this is not the course.
- Discrete-Time Signals and Systems (Note 2.1-2.2), Oppenheim 2.1-2.5
- Discrete-Time Fourier Transform (Not 2.3-2.4), Oppenheim 2.6-2.9
- The Z-Transform (Note 3) Oppenheim Ch. 3
- Random signals and linear MMSE estimation
- Sampling of analog signals (Note 4), Oppenheim Ch. 4
- Digital Filter Design and implementation Oppenheim Ch. 7
- Discrete Fourier Transform and FFT, Oppenheim 8.0-8.7, 9.2
- Statistical signal processing
- Quantization noise in DSP (if time allows)
Assignments
- Uploaded in Canvas. Weekly assignments must be submitted through canvas by the due date.
- Uploaded in Canvas.
- Bring these course notes to the class!!! Lectures will be given with an assumption that you have a copy of these notes in your hand in the classroom
Grading
- Exam 1 25%
- Exam 2 30%
- Exam 3 30%
- Project 10%
- Attendance and class participation 5%
NOTES:
- An exceptionally good exam 3 score or the project can further improve the final letter grade. Extremely poor exam 3 score in comparison to the weighted semester score can lower the final letter grade.
- Assignments are very important for learning. Unsatisfactory work in assignments or projects can result in a failing letter grade.
Materials
REQUIRED READING:
A. V. Oppenheim and R. W. Schafer, Discrete-time Signal Processing, 3rd. Ed.,
Prentice Hall, 2010.
Registrar Notes:
SFU’s Academic Integrity web site http://students.sfu.ca/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS