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ELEC3305: Digital Signal Processing (2018 - Semester 1)

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Unit: ELEC3305: Digital Signal Processing (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Senior
Faculty/School: School of Electrical & Information Engineering
Unit Coordinator/s: Dr Jin, Craig
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit:
Campus: Camperdown/Darlington
Pre-Requisites: ELEC2302.
Brief Handbook Description: This unit aims to teach how signals are processed by computers. It describes the key concepts of digital signal processing and provides a background for modern signal processing systems which includes machine learning/artificial intelligence systems as well as data analytic systems. The primary paradigm is one of Analysis and Synthesis also referred to as Top-Down and Bottom-Up processing. The unit will focus on the traditional Fourier domain for analysis/synthesis but will touch on other domains such as wavelets and compressed sensing. Students will be taught to work with and implement traditional filters and transforms working with real signals and systems. Completion of the unit will facilitate progression to advanced study in the area and to work with modern signal processing systems.

The following topics are covered: discrete-time systems, discrete-time Fourier transform and Z-transform, Discrete Fourier Transform and Convolution, Spectral Analysis, Polyphase Decomposition and Filter Banks, Practical ADC/DAC, Transform Analysis of LTI Systems and Phase Response, Structures for Discrete-Time Systems and Quantization Effects, Filter Design. The focus of the course will be on practical work so that theory is put into practice.
Assumed Knowledge: Familiarity with basic Algebra, Differential and Integral Calculus, continuous linear time-invariant systems and their time and frequency domain representations, Fourier transform, sampling of continuous time signals.
Timetable: ELEC3305 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.50 1 12
3 Laboratory 1.50 1 12
4 Independent Study 2.00 13
5 Project Work - own time 1.00 7
T&L Activities: Tutorial: Tutorials are devoted to practicing basic concepts covered in the lectures and understanding how more complex tasks can be handled by putting these basic concepts together. The focus is on active learning and the group work and discussion is encouraged. The students also get to present their solutions to the rest of the class.

Laboratory: Labs are integrated with each tutorial work using a modern signal processing platform to ensure that practical knowledge is achieved.

Independent Study: On their own time, students need to read the text, watch assigned videos, and refer to other references to fully understand the concepts covered in the lectures.

Project Work - own time: Students will develop a DSP system in Matlab, write a report and demonstrate their work.

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Extensive design and analysis work is done in tutorials, labs, and project. Design (Level 3)
Gain an understanding of the basic concepts in digital signal processing. It builds on the previous knowledge gained in signals and systems. Engineering/IT Specialisation (Level 3)
Gain an ability to apply the principles of digital signal processing to various applications including filter design and speech processing. Maths/Science Methods and Tools (Level 3)
Students need to work in groups and present their solutions to the rest of the class during tutorials. They also need to write lab reports, a project report and do project demonstration. Communication (Level 3)
Group work in labs and tutorials. Project and Team Skills (Level 2)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design (Level 3)
1. Ability to conduct lab experiments and make measurements to understand the influence of various factors in digital spectra computations.
2. Ability to design, implement and and test digital filters on the DSP boards to achieve different performance requirements.
Engineering/IT Specialisation (Level 3)
3. Ability to demonstrate an understanding of the basic filtering concepts, including filter shapes, gain and bandwidth.
4. Ability to formulate time domain and frequency domain representations for digital signals and filters.
5. Ability to design Finite impulse response (FIR) and Infinite impulse response (IIR) filters to meet certain performance specifications.
6. Ability to explain issues involved with the computation of Fourier transform by a computer, i.e. Discrete Fourier Transform (DFT) and Fast Fourier Transform (FFT).
Maths/Science Methods and Tools (Level 3)
7. Ability to explain issues involved with analog to digital and digital to analog conversion, including minimum sampling rate, oversampling, aliasing and quantization.
Communication (Level 3)
8. Ability to make written and oral presentations in the form of tutorial presentations, lab reports, and project report.
Project and Team Skills (Level 2)
9. Ability to work in a team to discuss and draw upon the ideas and knowledge of others to solve and present tutorial problems, conduct lab experiments and research projects.
Information Seeking (Level 2)
10. Ability to search and evaluate information from internet, journals, books and other resources for the purpose of a specific research project.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Labs Yes 15.00 Multiple Weeks 1, 2, 3, 4, 5, 6, 7, 8, 9,
2 Tutorials Yes 15.00 Multiple Weeks 3, 4, 5, 6, 7, 8, 9,
3 Midterm Exam No 20.00 Week 7 3, 4, 5, 6, 7,
4 Final Exam No 25.00 Week 13 3, 4, 5, 6, 7,
5 Project Yes 20.00 Multiple Weeks 3, 4, 5, 6, 7, 8, 10,
6 Lecture Problem Solving Participation No 5.00 Multiple Weeks (Wednesday, 11 am) 3, 4, 5, 6, 7,
Assessment Description: Tutorials and Labs: There are twelve tutorial/lab classes scheduled through the semester. Tutorials will include analytical problem solving sessions on the material covered in the lectures and computer aided solution / illustration. These sessions will give you the opportunity to explore the concepts in detail and are very helpful in understanding the material covered in the lecture. Please see the unit of study web page for the details of tutorial assessment scheme. It stresses the importance of your preparation work and enhances your communication skills. Besides this incentive, in my experience I have found that there is a direct correlation between the tutorial participation and the exam performance of the students.

There are twelve tutorial/lab classes scheduled through the semester. Laboratories are designed to introduce you to modern signal processing platforms. They will require you to do some design, make measurements and perform demonstrations. You will enjoy doing them. You need to submit a brief written lab report for a number of selected labs. The idea is to give you some experience in report writing. Please see the unit of study web page for the details of the laboratory assessment scheme.

Project: Project will require you to design and implement a signal processing system, write a report and do the demonstration of your work.

Exams: Midterm Exam and Final Exam. Exams will be conducted during in-class sessions. Because the emphasis of this class is on practical work, there will be two in-class exams worth 20% each.
Assessment Feedback: Lab and Tutorial work will be marked and returned to students. Midterm Exam will be returned to the students. Instant feedback is also provided to students during the tutorial/lab class.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Online Course Content: Learning Management System (LMS) through MyUni

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Introduction and Discrete Time Systems
Week 2 Discrete Time Fourier Transform and Z-Transform
Week 3 Z-Transform and Sampling
Week 4 Discrete Fourier Transform and Convolution
Week 5 Fast Fourier Transform
Week 6 Spectral Analysis
Week 7 Resampling
Assessment Due: Midterm Exam
Week 8 Polyphase Decomposition and Filter Banks
Week 9 Practical ADC/DAC
Week 10 Transform Analysis and Phase Analysis
Week 11 Structure of Discrete Time Systems and Quantization Effects
Week 12 Filter Design
Week 13 In-class Final Exam
Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Electrical (Bioelectronics) (till 2012) 2011, 2012
Electrical Engineering (Bioelectronics) / Arts 2011, 2012
Electrical Engineering (Bioelectronics) / Commerce 2011, 2012
Electrical Engineering (Bioelectronics) / Medical Science 2011, 2012
Electrical Engineering (Bioelectronics) / Science 2011, 2012
Electrical Engineering (Bioelectronics) / Law 2011, 2012
Electrical (Telecommunications) (till 2014) 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Telecommunications) / Law 2011, 2012, 2013, 2014
Electrical (Telecommunications) 2015
Electrical (Telecommunications) / Arts 2015
Electrical (Telecommunications) / Commerce 2015
Electrical (Telecommunications) / Medical Science 2015
Electrical (Telecommunications) / Project Management 2015
Electrical (Telecommunications) / Science 2015
Electrical (Telecommunications) / Law 2015
Telecommunications (till 2010) 2010
Biomedical Engineering / Law 2013, 2014
Biomedical Engineering / Arts 2013, 2014
Biomedical Engineering / Commerce 2013, 2014
Biomedical Engineering / Medical Science 2013, 2014
Biomedical Engineering / Project Management 2013, 2014
Biomedical Engineering / Science 2013, 2014
Biomedical - Chemical and Biomolecular Major 2013, 2014, 2018, 2015, 2018
Biomedical - Electrical Major 2013, 2014
Biomedical - Information Technology Major 2013, 2014, 2015
Biomedical - Mechanical Major 2013, 2014, 2015, 2018
Biomedical - Mechatronics Major 2013, 2014, 2015
Computer Engineering (till 2010) 2010
Computer Engineering / Commerce 2010
Electrical (till 2014) 2010, 2011, 2012, 2013, 2014
Electrical Engineering / Arts 2011, 2012, 2013, 2014
Electrical Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Electrical Engineering / Medical Science 2011, 2012, 2013, 2014
Electrical Engineering / Project Management 2012, 2013, 2014
Electrical Engineering / Science 2011, 2012, 2013, 2014
Electrical (Computer) (till 2014) 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Commerce 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Medical Science 2011, 2013, 2014
Electrical Engineering (Computer) / Science 2011, 2012, 2013, 2014
Electrical Engineering (Computer) / Law 2011, 2012, 2013, 2014
Electrical (Power) (till 2014) 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Arts 2011, 2012, 2013, 2014
Electrical Engineering (Power) / Project Management 2012, 2013, 2014
Electrical Engineering (Power) / Science 2011, 2012, 2013, 2014
Biomedical Mid-Year 2016, 2017, 2018, 2019
Biomedical 2016, 2017, 2018, 2019
Biomedical / Arts 2015, 2016, 2017, 2018, 2019
Biomedical / Commerce 2015, 2016, 2017, 2018, 2019
Biomedical / Medical Science 2015, 2016, 2017
Biomedical / Music Studies 2016, 2017
Biomedical / Project Management 2015, 2016, 2017, 2018, 2019
Biomedical /Science 2015, 2016, 2017, 2018, 2019
Biomedical/Science (Health) 2018, 2019
Biomedical - Electrical Major 2015
Biomedical / Law 2015, 2016, 2017, 2018, 2019
Electrical Mid-Year 2016, 2017, 2018, 2019
Electrical 2015, 2016, 2017, 2018, 2019
Electrical / Arts 2015, 2016, 2017, 2018, 2019
Electrical / Commerce 2015, 2016, 2017, 2018, 2019
Electrical / Medical Science 2015, 2016, 2017
Electrical / Music Studies 2016, 2017
Electrical / Project Management 2015, 2016, 2017, 2018, 2019
Electrical / Science 2015, 2016, 2017, 2018, 2019
Electrical/Science (Health) 2018, 2019
Electrical (Computer) 2015
Electrical (Computer) / Arts 2015
Electrical (Computer) / Commerce 2015
Electrical (Computer) / Medical Science 2015
Electrical (Computer) / Project Management 2015
Electrical (Computer) / Science 2015
Electrical (Computer) / Law 2015
Electrical / Law 2015, 2016, 2017, 2018, 2019
Electrical (Power) 2015
Software Mid-Year 2016, 2017, 2018, 2019
Software 2015, 2016, 2017, 2018, 2019
Software / Arts 2016, 2017, 2018, 2019
Software / Commerce 2016, 2017, 2018, 2019
Software / Medical Science 2016, 2017
Software / Music Studies 2016, 2017
Software / Project Management 2016, 2017, 2018, 2019
Software / Science 2016, 2017, 2018, 2019
Software/Science (Health) 2018, 2019
Software / Law 2016, 2017, 2018, 2019
Software Engineering (till 2014) 2010, 2011, 2012, 2013, 2014
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Project Management 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014
Biomedical/Science (Medical Science Stream) 2018, 2019
Bachelor of Information Technology (Computer Science) 2014 and earlier 2010, 2011, 2012
Information Technology (Computer Science)/Arts 2012
Electrical/Science (Medical Science Stream) 2018, 2019
Software/Science (Medical Science Stream) 2018, 2019
Information Technology (Computer Science) / Science 2012

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design (Level 3) Yes 3.33%
Engineering/IT Specialisation (Level 3) Yes 66.67%
Maths/Science Methods and Tools (Level 3) Yes 16.67%
Communication (Level 3) Yes 6.67%
Project and Team Skills (Level 2) Yes 3.81%
Information Seeking (Level 2) No 2.86%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.