Skip to Content

Courses

Print or email this page: Print this page Email a Friend

 

Digital Signal and Image Processing

Unit Code:HET329



Credit Points

Duration

Contact Hours

Campus

Prerequisite

Corequisite

12.5 Credit Points

1 Semester

67 Hours

Hawthorn, Sarawak

HMS211 Engineering Mathematics 3A or HMS213 Engineering Mathematics 3B

Nil

Related Course/s:

Bachelor of Engineering (Electrical and Electronic Engineering) / Bachelor of Commerce,
Bachelor of Engineering (Electronics and Computer Systems)/ Bachelor of Science (Biomedical Sciences),

Aims & Objectives:

The aim of this unit is to introduce the principles of signal processing, with an emphasis on discrete signal and image processing.
The theoretical basis for linear processing schemes is presented together with discussions of a range of common algorithms and their implementations and uses.

Teaching Methods:

Lectures (48 hours), Tutorials (11 hours) and Laboratory work (8 hours).

Assessment:

Examination (70%); Lab reports (30%).

Generic Skills Outcomes:

In this unit, students are expected to enhance the Key Generic Skills below as recognised by Engineers Australia. The Unit Outline explains how these outcomes will be achieved.
  • Ability to apply knowledge of basic science and engineering fundamentals
  • Ability to communicate effectively, not only with engineers but also with the community at large
  • Ability to undertake problem identification, formulation and solution
  • Expectation of the need to undertake lifelong learning, and capacity to do so

Content:

  • Continuous time signals and systems
  • Fourier analysis
  • Continuous systems, linearity and time-invariance
  • Response of LTI systems, stability and causality, rational systems
  • Noise
  • Sampling and the sampling theorem
  • Practical aspects of sampling and reconstruction
  • Discrete time signals
  • Basic operations on signals
  • Discrete time Fourier transform, the DFT and the FFT
  • Discrete LTI systems and discrete linear convolution
  • FIR and IIR systems
  • Difference equations and their solutions
  • The z transform and its application to discrete time system analysis
  • Rational z transforms and the response of pole-zero systems
  • Structures for realising discrete LTI systems
  • Ideal filters
  • Causality and stability constraints
  • Rational transfer functions and approximations to ideal filters
  • Design of FIR filters, non-recursive FIR realisations
  • Linear phase filters
  • Use of DFT
  • Recursive FIR realisations
  • Design of recursive IIR filters
  • Digital integration and differentiation
  • Spectral analysis of continuous signals
  • Power and energy spectral densities, the spectra of random processes and the measurement of spectra
  • Discrete time spectral analysis
  • Calculation of spectra using the DFT
  • Image processing
  • Grey level resolution, spatial resolution, contrast and brightness
  • The video signal, digital images, frame grabbers, colour images
  • Grey level mapping, histograms, point processes and convolution
  • 2D spatial frequency, the Fourier transform and filtering
  • Image segmentation

Reading Materials:

Ashok Ambardar, Analog and Digital Signal Processing (2nd Ed). Brooks/Cole (1999)
Strum, R & Kirk, D, First Principles of Discrete Systems & Digital Signal Processing, Addison-Wesley, 1989.
Oppenheim, AV & Schafer, RW, Discrete-Time Signal Processing, Prentice-Hall, 1989.
Castleman, KR, Digital Image Processing, Prentice-Hall, 1996.
Gonzales, RC & Wintz, P, Digital Image Processing, 2nd edn, Addison Wesley, 1987.