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ELEC442 Digital Signal Processing

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.

Paper title Digital Signal Processing
Paper code ELEC442
Subject Electronics
EFTS 0.0833
Points 10 points
Teaching period Second Semester
Domestic Tuition Fees (NZD) $653.49
International Tuition Fees (NZD) $2,757.23

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Limited to
BSc(Hons), PGDipSci, MSc, MAppSc
Contact
colin.fox@otago.ac.nz
Teaching staff

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

Textbooks
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

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Timetable

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
None

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.

Paper title Digital Signal Processing
Paper code ELEC442
Subject Electronics
EFTS 0.0833
Points 10 points
Teaching period Second Semester
Domestic Tuition Fees Tuition Fees for 2020 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

^ Top of page

Limited to
BSc(Hons), PGDipSci, MSc, MAppSc
Contact
colin.fox@otago.ac.nz
Teaching staff

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

Textbooks
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

^ Top of page

Timetable

Second Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
None