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    An introduction to techniques of digital signal processing for deterministic signals: discrete-time and linear time-invariant systems, difference equation description, the Z-transform, and advanced applications such as FIR filter design.

    About this paper

    Paper title Digital Signal Processing
    Subject Electronics
    EFTS 0.0833
    Points 10 points
    Teaching period Not offered in 2023 (On campus)
    Domestic Tuition Fees ( NZD ) $704.22
    International Tuition Fees Tuition Fees for international students are elsewhere on this website.
    Limited to
    BSc(Hons), PGDipSci, MSc, MAppSc
    Teaching staff

    Course co-ordinator: Associate Professor Colin Fox
    Dr Tim Molteno

    Textbooks are not required for this paper.
    Graduate Attributes Emphasised
    Global perspective, Interdisciplinary perspective, Lifelong learning, Scholarship, Communication, Critical thinking, Information literacy, Research, Self-motivation, Teamwork.
    View more information about Otago's graduate attributes.
    Learning Outcomes
    By the end of the module students are expected to be able to:
    1. Understand the consequences of the sampling theorem
    2. Convert between continuous-time and discrete-time signals by using sampling theorem
    3. Classify discrete-time signals and linear time-invariant systems using difference equations description
    4. Apply the Z-transform to discrete-time signals and systems
    5. Perform simple manipulations on Z-transforms, in particular find solutions to some simple systems given by their difference equations or their block diagrams
    6. Determine the stability of a linear time-invariant system based on its poles and zeros structure
    7. Design elementary infinite impulse response (IIR) and finite impulse response (FIR) filters
    8. Construct Matlab functions using the built-in DSP toolbox corresponding to FIR filter specifications


    Not offered in 2023

    Teaching method
    This paper is taught On Campus
    Learning management system
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