Course Title: Signal Processing for Multimedia and Telemedicine

Part A: Course Overview

Course Title: Signal Processing for Multimedia and Telemedicine

Credit Points: 12.00


Course Code




Learning Mode

Teaching Period(s)


City Campus


125H Electrical & Computer Engineering


Sem 2 2006,
Sem 2 2007,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011

Course Coordinator: Dr Dinesh Kant Kumar

Course Coordinator Phone: +61 3 99251954

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

Background in electronics (2nd year level e.g.EEET2255) and fundamental in signal processing.

Course Description

Introduction to Speech, Bioelectric, Image signals. DSP of biosignals - analog/digital conversion, sampling, windowing, filtering. Random processes and time series models - stochastic and autoregressive techniques for spectral analysis, classification, modelling and data compression
Biotelemetry –
Wavelet analysis for signal processing. Neural networks - biological applications.

Objectives/Learning Outcomes/Capability Development

Students are expected to learn how to process the telemedicine and multimedia information prior to transmission and recording. This course is designed with emphasis on the applications of signal processing.

Overview of Learning Activities

Lectures and Laboratory work:
The lectures are designed for the student to understand the concepts of modern signal processing tools used for data recording and transmission in telemedicine and multimedia technology.
The laboratory work is designed to give the students a hands on experience of the tools available. These have been specifically designed to help the students understand the tools without the mathematical rigours associated with the tools.

The assignments are closely linked to the laboratory work undertaken by the students. The assignments also provides an opportunity to go through structured learning to understand some mathematics and details associated with the tools.

Practicals and Seminars:
Engineering employment requires the capacity to work effectively in teams, to communicate effectively both orally and in writing, and to learn effectively. In order to prepare students for employment as graduates they will be provided with a quality assured teaching and learning environment which is conducive to the development of adult learning.

Overview of Learning Resources

Prescribed References: Nil.

Recommended References:
Tompkins W J: Biomedical Signal Processing, PTR Prentice Hall, 1994.

Arnon Cohen: Biomedical Signal Processing, Vol 1 - Time and Frequency Domains Analysis, CRC Press 1987.

Research Journals: IEEE Transactions on Biomedical Engineering.
Medical and Biological Engineering, IEE Press.

Overview of Assessment

The assessment for this course consists of laboratories, assignments and a final examination.