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Digital Signal Processing G (10095.2)

Level: Graduate Level
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

Unit Outlines

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  • Semester 1, 2019, ON-CAMPUS, BRUCE (185289) - View
  • Semester 1, 2018, ON-CAMPUS, BRUCE (182091) - View

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Syllabus

This unit introduces and develops the fundamental concepts of discrete-time systems for engineering. Digital Signal Processing (DSP) is concerned with the infrastructure of multimedia, and this unit will provide the tools for developing and implementing that infrastructure.

This unit is co-taught with Digital Signal Processing, 10003.

Learning Outcomes

On successful completion of this unit, students will be able to:

1. Have an advanced understanding of the fundamentals of Digital Signal Processing;

2.Apply their understanding of discrete time signals and sampling theory;

3. Design and implement finite and infinite impulse response filters;

4. Apply low-pass, bandpass, and high-pass filters to practical, real-world problems;

5. Interpret and convert sample rates and average signals;

6. Demonstrate and apply an understanding of the concepts of spectrum analysis of periodic and non-periodic signals;

7. Demonstrate an advanced ability to analyse signals using the Laplace transform, z-transform and the discrete Fourier transform / fast Fourier transform; and

8. Programmatically apply implementations of these concepts in Matlab.

Assessment Items

Contact Hours

Up to 3 hours per week, consisting of 2 hour lecture and 1 hour tutorial.

Prerequisites

10093 Signals and Systems G

Corequisites

None.

Assumed Knowledge

None.

Incompatible Units

None.

Equivalent Units

None.


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