EE4015 Semester A 2022/2023

Digital Signal Processing

Course Description

The purpose of this course is to provide students with a sound foundation and understanding of digital signal processing theory and techniques for signal analysis and system design in different application areas. Students will also learn how to apply DSP techniques to solve real-world problems by implementing algorithms in Google Colab using Python.


Do not worry about your difficulties in Mathematics.
I can assure you mine are still greater.
~ Albert Einstein

Topics:

  • Review of Continuous-Time Signals and Systems
  • Discrete-Time Signals and Systems
  • Signal Sampling and Quantization
  • Discrete-Time Fourier Transform
  • Discrete Fourier Transform and FFT
  • The z-transform
  • Realization of Digital Filters
  • Digital Filter Design: FIR and IIR
  • Multirate DSP
  • Applications of DSP

Grading:

  • Assignments - 15%
  • Quiz - 5%
  • Mid-Term Exam - 10%
  • Group Project - 20%
  • Final Exam - 50%

Prerequisites:

  • EE3210 (Signals and Systems)

Instructor:

Dr. PO Lai-Man

Grader:

Mr. YU Wing Yin, Rocket

Lecture:

  • Monday : 3:00pm to 5:50pm

Venue:

  • Yeung Kin Man Academic Building, Room P4701

Level and Units:

  • B4 Level with 3 CUs

Rules:

  • Lecture attendance: Required. You are responsible for whatever is taught in the lecture and tutorial.

  • Submission of Assignments and Project Reports:
    1. Hardcopies are not required.
    2. Soft copies of assignment and project materials, such as PDF files, presentation PPTs, Colab source code and related files, need to be uploaded to CANVAS by the deadline of 11:00pm.

  • Late Submission:
    1. Assignments and project reports mush be received by the course email account before 11:00PM on the due date.
    2. NO late homework is accepted without previous arrangement with the instructor.
    3. If approved, late homework receives 20% per business day penalty.
    4. Write your name and student number on the top right corner of the paper.
    5. Write your answers legibly and derive all of the steps to show your work clearly.
    6. No credits will be given to answers without showing the steps.
    7. Students may work together on the homework, but copying is unacceptable.

  • Cheating: In particular copying your fellow classmate's assignments or programs, is a very serious offense! If you are found cheating, you will automatically get an F grade in this course and your act will be reported to the Department for necessary disciplinary actions. Please don't let others copy your assignments or programs as we don't have a way to tell who is copying who and you may be liable to the penalties.