Digital Signal Processing

University of Queensland

Course Description

  • Course Name

    Digital Signal Processing

  • Host University

    University of Queensland

  • Location

    Brisbane, Australia

  • Area of Study

    Electrical Engineering

  • Language Level

    Taught In English

  • Prerequisites


  • Course Level Recommendations


    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Host University Units

  • Recommended U.S. Semester Credits
  • Recommended U.S. Quarter Units
  • Overview

    Course Description
    Advanced digital filtering: polyphase, multirate, all-pass, lattice & IIR filters. Signal conditioning, analog filter types, sigma delta converters. Fast algorithms; Cooley-Tukey FFT, mixed radix formulations, Good-Thomas algorithm. Autoregressive, moving average signals. DSP applications and programming.


    Course Introduction
    This course is an introduction to the exciting and rapidly advancing field of digital signal processing. These days Digital Signal Processing has largely replaced analog electronics for virtually all applications.  DSP technology levers off computer hardware that becomes cheaper and faster every year, so a DSP solution will invariably replace analog solutions over time.  The course will be delivered in a practical manner and students will be asked to code algorithms in Matlab to demonstrate deep and practical understanding of the course material.  DSP research strengths at UQ will be highlighted and applications of DSP in commodity devices such as CD and DVD players will be used as course examples.


    Learning Objectives
    After successfully completing this course you should be able to:

    1  Implement Digital Signal Processing algorithms in Matlab
    2  Use and apply data windowing appropriately to solve a range of filtering and analysis problems
    3  Code fundamental DSP algorithms such as the FFT and multi-rate filters
    4  Be able to describe the DSP processing chain of DSP-based devices such as a CD player
    5  Acquire an international perspective on the field through the advanced topics delivered by guest lecturers and recognized researchers


    Class Contact
    2 Lecture hours, 2 Tutorial hours, 2 Practical or Laboratory hours

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.