1 x 120-minute lecture-1 weekly
1 x 60-minute lecture-2 weekly
1 x 50-minute tutorial fortnightly
1 x 120-minute practical fortnightly
Enrolment not permitted
1 of ENGR3721, ENGR8821 has been successfully completed
Assumed knowledge
Knowledge such as acquired in ENGR2722 or ENGR8722 Analysis of Engineering Systems
Topic description
Ideal filters, cascade design, frequency and magnitude scaling, lowpass to highpass, bandpass, bandstop transformations, analogue Butterworth and Chebyshev filter design. z-transform, Fast Fourier Transform, fast correlation and convolution, oversampling, spectrum estimation and analysis, windowing, FIR and IIR filter design, applications and case studies.
Educational aims
Signal processing is fundamental to all areas of engineering and underpins communication, medicine, defence, security, the entertainment industry, and nearly every aspect of modern life. These applications require precise implementation of engineering based on fundamental principles. The educational aim is to provide understanding of concepts in signal processing, how the theoretical framework impacts and resolves the details of practical application.
Expected learning outcomes
At the completion of this topic, students are expected to be able to:

  1. Design and implement analogue and digital filters according to specifications
  2. Specify circuit requirements for signal processing applications
  3. Understand concepts, techniques, and circuits for analogue and digital signal processing
  4. Understand the mathematical and practical connections between analogue and discrete signal processing
  5. Understand and deal with the limitations of various linear and nonlinear analogue and digital circuits and devices
  6. Use MATLAB and/or other computer development tools for signal processing analysis, simulation, study, and research
  7. Implement signal processing algorithms in dedicated Digital Signal Processors for practical applications
  8. Apply the knowledge of various signal processing tools in the research and development of a practical signal processing system for solving real problems