1997 Swinburne Higher Education Handbook

processing and system analysis, with emphasis on discrete
systems and digital signal processing.
Content
Signals: Types of continuous signals Fourier series and
Fourier transform. Fourier transforms of impulsive and
periodic signals; Band-limited signals; Idealized sampling of
band-limited signals and the sampling theorem; Practical
aspects of sampling and reconstruction.
Discrete time signals: Basic signals and operations on
signals; Discrete Time Fourier Transform.
Systems: Continuous systems, Linearity and Timeinvariance;
Response of LTI systems in time and frequency
domains; Stability and Causality; The Laplace transform and
transfer functions; Rational systems; Discrete LTI systems,
discrete convolution; FIR and IIR systems; Difference
equations and discrete LTI Systems; Solution of difference
equations; Structures for realizing Discrete LTI systems.
The z Transform: The z transform and its properties;
Relation to DTFT; Application to Discrete Time System
Analysis; Rational z transforms and response of pole-zero
systems.
Spectral Analysis: Spectral Analysis of Continuous Signals
and Systems. Power and energy spectral densities;
Measurement of spectra; Frequency response of LTI
systems; Spectra of Discrete signals; Calculation of Spectra;
Frequency response of discrete LTI systems and relation to z
transform; Periodic sequences and the DFT; FFT
calculation of the DFT; Applications of the DFT.
Design of Digital Filters: Ideal filters; Causality and
stability constraints; Rational transfer functions and
approximations to ideal filters. Filter design parameters and
common filter types. Design of FIR filters; Non-recursive
FIR realisations. Linear phase filters. Use of DFT.
Recursive FIR realisations. Design of recursive IIR filters.
Recommended Reading
Oppenheirn A.V., and Schafer R.W., Discrete-time Signal
Processing , Prentice-Hall 1989
Proakis J G. and Manolakis D.G., Introduction to Digital Signal
Processing , Macrnillan 1988
Strum, R. and Kirk D. Fint Principles of Discrete Systems and
Digital Signal Processing , Addison-Wesley 1989
SP510
Scientific Instrumentation A
10 credit points 4 hours per week Hawthorn
Prerequisite: SP3410, SP3430 Assessment: examination
assignments and laboratory reports
A final year subject in the Bachelor of Applied Science
(Medical Biophysics and Instrumentation)
Content
An introduction to artificial neural networks and their
applications to instrumentation.
The artificial neurone. The concept of organising neurones
into nets. The back propagation network. Practicalities
when using networks. Specialist classification networks.
Variations on back propagation networks. Self organising
networks. More biologically plausible networks.
Evolutionary algorithms.
Introduction to Digital Image Processing: the video signal;
frame grabbers; contrast; brightness; spatial and grey-level
resolution; histograms; image profiles; arithmetic and
boolean image operations; look-up-table mapping; histogram
equalisation; thresholding; image convolution;
segmentation; feature extraction/description; 2-d Fourier
transform and frequency domain operations.
SP523
Industry Based Learning
50 credit points Hawthorn Prerequisites: nil
A third year industrial based learning subject of the degree
of Bachelor of Applied Science (Computing and
Instrumentation)
A six-month period of industry based learning occurring as
part of the third year of the course leading to the degree of
Bachelor of Applied Science (Computing and
Instrumentation). Students are supervised by a member of
the academic staff and are required to submit a report to
their employer and to their supervisor. This program is
normally followed end-on by SP623.
SP524 Biophysics (Neurosciences A)
8 credit points 4 hours per week Hawthorn Prerequisites:
SP324 and either SP424 or SP42.5 Assessment: examination,
assignments and practical work
A final year subject in the Bachelor of Applied Science
(Medical Biophysics and Instrumentation)
Content
Neuro anatomy spinal cord organisation, histological
features, brain-stem, pathways, structures, hemispheres,
subcortical structures, gross and histological dissection.
Receptor functions information theory, channel capacity,
information transmission, frequency coding, thresholds,
- A . -
receptive fields, generator potential.
Biophysics of peripheral sensory systems peripheral
receptors, histology, function, CNS connections, spinal cord
mechanisms, spinal afferent pathways - lemniscal and
anterolateral, thalamic organisation and projections, S1 and
S11 somatosensory cortex, dysfunction, testing - SEP.
Pain, spinal and brainstem pathways, endogenous opiates,
gating theory, analgesia - TENS, electrical stimulation,
pharmacological interactions.
Psychophysics scaling, assessment techniques, absolute and
difference thresholds, Weber function, just noticeable
difference, Fechner compression, signal detection, ROC
curves.
Motor control peripheral mechanisms, gamma loop,
coactivation, stiffness regulation, servo mechanisms, motor
cortex, motor potential, control circuits to basal ganglia and
cerebellum, spinal pathways, pathology, skiiled movement,
learning, open and closed loop operation.
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