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1996 Swinburne Higher Education Handbook

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Objectives<br />

To provide students with an understanding of the current<br />

trends in High Level Synthesis using Hardware Description<br />

Languages (HDL) and the methodologies involved in the<br />

design and integration of complex systems using Computer-<br />

Aided Design tools.<br />

Content<br />

Issues involved in High Level Synthesis;<br />

architectural Models in Synthesis;<br />

Hardware Description Language(VHDL);<br />

quality measures including relationship between<br />

structural and physical designs, area and performance;<br />

partitioning in High -Level Synthesis;<br />

scheduling formulation and allocation;<br />

design methodology for HighLevel Synthesis;<br />

performance and fault modeling using VHDL.<br />

Recommended reading<br />

Gajski, D., & Dutt, N., High Level Synthesis: Introduction to Chip<br />

and System Design. Kluwer Academic Publishers, 1982<br />

IEEE Design and Test of Computer Magazine<br />

IEEE Transaction on Computer-Aided Design<br />

Perry, D., VHDL; MC Graw-Hill, 1991<br />

& Schoen, J., Pe$onnaa and Fault Modeling with VHDL. Prentice<br />

T' Hall, 1992<br />

F:<br />

U<br />

, EE782 Computer Systems and Software<br />

E- Engineering<br />

12.5 credit points 4 hours per week average Hawthorn<br />

Prerequisites: must have completed July-Nov. requirements<br />

Corequisites: nil Assessment: exam, assignment and<br />

laboratory<br />

A subject in the Masters of Engineering by coursework<br />

(Telecommunications, Computer Systems Engineering and<br />

Biomedical Instrumentation)<br />

Objectives<br />

The aims of this subject are to develop a sound<br />

understanding of:<br />

Software engineering principles and techniques<br />

applicable to computer based systems in engineering<br />

applications;<br />

- -<br />

fundamentals of operating systems with an emphasis on<br />

real-time systems.<br />

Content<br />

Principles of software engineering;<br />

requirements analysis;<br />

specification of systems;<br />

design verification and quality assurance;<br />

operating systems structure;<br />

multiprocessing;<br />

synchronisation;<br />

input-output facilities;<br />

resource allocation and management;<br />

deadlocks.<br />

Recommended reading<br />

IEEE Publications<br />

Jones, G. W., Software Engineering. Wiley, 1990<br />

Peterson J.L. & Silberschatz, A. Operating System Concepts.<br />

Addison-Wesley, 1985<br />

Stallings, W. Operating Systems. Maxwell-Macmillan, 1992<br />

Tanenbaum, A.S., Operating Systems. Prentice Hall 1987<br />

EE783 Digital Signal Processing Systems<br />

Engineering<br />

12.5 credit points 4 hours per week average Hawthorn<br />

Prerequisites: must have completed July-Nov. requirements<br />

Corequisites: nil Assessment: exam, assignment and<br />

laboratory<br />

A subject in the Masters of Engineering by coursework<br />

(Telecommunications, Computer Systems Engineering and<br />

Biomedical Instrumentation)<br />

Objectives<br />

To present the principles of power spectrum estimation,<br />

adaptive filtering, array processing and discuss their<br />

applications in geophysics and oil exploration, biomedicine,<br />

speech, echo cancellation and equalisation of telephone<br />

channels.<br />

Content<br />

Definition of power spectrum, conventional spectrum<br />

estimation methods:<br />

maximum likelihood method of Capon; maximum<br />

entropy method;<br />

AR and ARMA spectrum estimation, harmonic<br />

decomposition;<br />

adaptive linear combiner;<br />

adaptation with stationary signals, gradient estimation;<br />

adaptive algorithms - and structures;<br />

adaptive modeling, system identification, deconvolution,<br />

equalisation, adaptive interference cancelling;<br />

array processing.<br />

Recommended reading<br />

IEEE Transaction on Information Technology<br />

IEEE Transaction on Signal Processing<br />

Monzindgo, R.A., and Miller, T.W., Introduction to Adaptive<br />

Arrays. N.Y., Wiley, 1980<br />

Stearns, S.D., Digital Signal Processing. Rochelle Park, N.J.,<br />

Hayden, 1993<br />

idr row, B., Strearns, S., Adaptive Signal Processing. Prentice<br />

Hall, 1985<br />

EE784 Fault Tolerant Computing<br />

12.5 credit points 4 hours per week average Hawthorn<br />

Prerequisites: must have completed July-Nov. requirements<br />

Corequisites: nil Assessment: exam, assignment and<br />

laborato y<br />

A subject in the Master of Engineering by coursework<br />

(Computer Systems Engineering)<br />

Objectives<br />

To provide the students with an understanding of the<br />

engineering issues involved in the design of fault tolerant

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