ELEC3600 - Sem 2 2008 - St Lucia - Internal

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1. General Course Information

1.1 Course Details

Course Code: ELEC3600 Course Title: Signal & Image Processing I
Coordinating Unit: School of Information Technology and Electrical Engineering
Semester: Semester 2, 2008    Mode: Internal
Level: Undergraduate
Location: St Lucia
Number of Units: 2    Contact Hours Per Week: 3L1T1P
Pre-Requisites: ELEC2004 + MATH2000
Incompatible: ELEC3600 or ELEC7601 or 3E313
Course Description: Signal & system models, digital signals & systems. Fourier, Laplace and Z-transforms. Random processes. Correlation. Spectral density. Digital spectral analysis, Digital filtering and filter design. Digital image processing
Assumed Background: Students are expected to have completed either 3E201 or 3E202 or ELEC2000 or ELEC2001 or ELEC2004 and either MATH2000 or MT250. This course is incompatible with the formerly offered course 3E313 and with ELEC7601. Students are expected to be familiar with a programming language such as Java, C/C++ or Matlab.

1.2 Course Introduction

This course covers the theory and practice of processing 'real world' analogue signals on a digital computer. The course covers the complete spectrum of modern digital signal processing (DSP)  techniques from signal acquisition; digital representations of time and spatial domain signals; signal processing; and digital signal conversion to analogue. The theory covered in this course is essential for the complete engineering understanding of many modern multimedia devices such as mobile phones, mp3 players, digital cameras, digital image and video storage and transmission. The course has two themes. The primary theme is the theory of signal and image processing. It begins with a brief review of signals and systems theory before developing the theory of z-transforms and difference equations, finite and infinite impulse response filters, fast Fourier transforms and image processing. The secondary theme is practical digital signal processing. The aim is to develop an awareness of issues relating to the implementation of algorithms on a digital signal processor, and to gain some 'hands-on' experience with this.

1.3 Course Staff

Course Coordinator: Dr Andrew Bradley
Phone: 3365 3284     Email: a.bradley@itee.uq.edu.au Homepage: http://www.itee.uq.edu.au/~bradley/
Campus: St Lucia Building: General Purpose South (Map)   Room: 538
Consultation: Please arrange an appointment via email.

Tutor: Mr Mandar Gujrathi
Phone: 3365 8313     Email: m.gujrathi@uq.edu.au
Campus: St Lucia Building: General Purpose South (Map)   Room: 528

Laboratory Co-ordinator: Mr Ian Clough
Phone: 3365 8303     Email: i.clough@uq.edu.au
Campus: St Lucia Building: General Purpose South (Map)   Room: 437
Consultation: Please email for a consultation time.


1.4 Timetable

Timetables are available on mySI-net.

2. Aims, Objectives & Graduate Attributes

2.1 Course Aims

The goal of this course is to provide the student with a grounding in modern signal & image processing theory and its applications. It also forms the basis for further study in advanced signal & image processing in fourth-year and postgraduate studies and for biomedical signal processing. The course has two themes. The primary theme of this course is the theory of signals and systems, and this is briefly reviewed first. This leads naturally to the the z-transform and difference equations, filters, the fast Fourier transform and image processing. MATLAB software is used throughout as an aid for teaching and learning. The secondary theme is practical digital signal processing. Here, the aim is to provide some 'hands-on' experience with programming a current-generation digital signal processor (DSP). Topics to be covered include the architecture of DSPs and other real-time DSP platforms.

2.2 Learning Objectives

After successfully completing this course you should be able to:

1  Understand the role of the Laplace and z-transforms, poles and zeros in the analysis of continuous-time and discrete-time signals and systems
2  Be able to calculate Laplace and z-transforms and their inverses and be able to use them to solve differential and difference equations
3  Understand the Nyquist sampling theorem and its implications in signal and image processing systems
4  Understand the concepts of amplitude distortion, phase distortion and group delay in filters
5  Design discrete-time filters using IIR and FIR techniques
6  Understand random processes and the principals of stochastic signal processing
7  Understand the computational benefits of the fast Fourier transform (FFT) in signal and image processing
8  Understand images as two-dimensional signals, their acquisition and the extension of the common DSP techniques to images.
9  Appreciate the architectural features necessary for digital signal processors and obtain hands-on experience with DSP programming.
10  Express DSP computations and algorithms in MATLAB and C
11  Comprehend the broad applicability of signal and image processing for further studies in this field, especially in communications and in biomedical signal processing
12  Appreciate the advantages of the time-frequency analysis, such as the Wavelet Transform and short-time Fourier transform

2.3. Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
A. IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
A4. An understanding of how other disciplines relate to the field of study.4, 7, 10, 11, 12
A5. An international perspective on the field of study.11, 12
B. EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms. 
B2. The ability to interact effectively with others in order to work towards a common outcome.9
B3. The ability to select and use the appropriate level, style and means of communication.10
B4. The ability to engage effectively and appropriately with information and communication technologies.9
C. INDEPENDENCE AND CREATIVITY
C1. The ability to work and learn independently.5, 6, 9, 10
C3. The ability to generate ideas and adapt innovatively to changing environments.9, 10, 11
C4. The ability to identify problems, create solutions, innovate and improve current practices.9, 10
D. CRITICAL JUDGEMENT
D1. The ability to define and analyse problems.4, 5, 10
D2. The ability to apply critical reasoning to issues through independent thought and informed judgement.10
D3. The ability to evaluate opinions, make decisions and to reflect critically on the justifications for decisions.10
E. ETHICAL AND SOCIAL UNDERSTANDING
E1. An understanding of social and civic responsibility.9, 11
E2. An appreciation of the philosophical and social contexts of a discipline.11
E4. A knowledge and respect of ethics and ethical standards in relation to a major area of study.9
E5. A knowledge of other cultures and times and an appreciation of cultural diversity. 

Successfully completing this course will contribute to the recognition of your attainment of the following Engineers Australia graduate attributes:

GRADUATE ATTRIBUTELEARNING OBJECTIVES
1. Ability to apply knowledge of basic science and engineering fundamentals1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
2. Ability to communicate effectively, not only with engineers, but also with the community at large1, 3, 4, 9
3. In-depth technical competence in at least one engineering discipline1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12
4. Ability to undertake problem identification, formulation and solution1, 2, 3, 4, 5, 6, 9, 10, 12
5. Ability to utilise a systems approach to design and operational performance1, 2, 3, 5, 7, 9, 10, 12
6. Ability to function effectively as an individual and in multi-disciplinary and multi-cultural teams, with the capacity to be a team leader or manager as well as an effective team member9
7. Understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and for the need for sustainable development11
8. Understanding of the principles of sustainable design and development9
9. Understanding of and commitment to professional and ethical responsibilities9
10. Expectation and capacity to undertake life-long learning11

3. Learning Resources

3.1 Required Resources

MULGREW B GRANT P and THOMPSON J, "DIGITAL SIGNAL PROCESSING: CONCENPTS AND APPLICATIONS," 2ND ED, Palgrave Macmillan, 2003. URL
 

3.2 Recommended Resources

MATLAB AND SIMULINK STUDENT VERSION 2007A URL
 
OPPENHEIM A, SCHAFER R AND BUCK JR, "DISCRETE TIME SIGNAL PROCESSING," 2ND ED, Prentice-Hall, 1999. URL
 
GONZALEZ R and WOODS R, "DIGITAL IMAGE PROCESSING," ADDISON WESLEY, 2002. URL
 
HAYKIN S and VAN VEEN B, "SIGNALS and SYSTEMS," JOHN WILEY and SONS, 2003. URL
 

3.3 University Learning Resources

Access to required and recommended resources, plus past central exam papers, is available at the UQ Library website (http://library.uq.edu.au/search/r?SEARCH=ELEC3600).

The University offers a range of resources and services to support student learning. Details are available on the myServices website (https://student.my.uq.edu.au/).

3.4 School of Information Technology and Electrical Engineering Learning Resources

Students enrolled at St Lucia who wish to retain a hard copy of this profile can use the free print quota provided each semester to students enrolled in courses in the School of Information Technology & Electrical Engineering. For information on how to use this print quota, see the School Policy on Student Photocopying and Printing (St Lucia) (http://www.itee.uq.edu.au/about_ITEE/policies/copy-print.html). Students enrolled at the Ipswich campus will either be provided with a hard copy or given directions in class on how to obtain a free copy.

ITEE course websites can be found at http://www.itee.uq.edu.au/~COURSECODE. Many ITEE courses also have Usenet newsgroups, named uq.itee.COURSECODE. Instructions for accessing newsgroups are available at http://studenthelp.itee.uq.edu.au/faq/1stYearFAQ.html#accessnews.

4. Teaching & Learning Activities

4.1 Learning Activities

Date
Activity
Learning Objectives
21 Jul 08 09:00 - 3 Oct 08 11:50
 Introduction to Digital Signal Processing (Lecture Series):
Readings/Ref: MGT ; OPPENHEIM ; HAYKIN
1, 2, 3, 4, 5, 6, 7
11 Aug 08 09:00 - 19 Sep 08 11:50
 Practical Aspects of Digital Signal Processing (Lecture Series):
Readings/Ref: MATLAB
3, 5, 9, 10, 11
18 Aug 08 10:00 - 18 Sep 08 11:50
 DSP with the NanoBoard (Practical): Introduction to DSP programming; FPGA implementations; IIR Filters; FIR Filters.
Readings/Ref: MGT ; MATLAB
3, 4, 5, 7, 9, 10, 11
6 Oct 08 09:00 - 17 Oct 08 11:50
 Introduction to Image Processing (Lecture Series):
Readings/Ref: MATLAB ; GONZALEZ
3, 7, 8, 10, 11
20 Oct 08 09:00 - 24 Oct 08 11:50
 Course Review and Revision (Lecture Series):
Readings/Ref: MGT ; MATLAB ; OPPENHEIM ; HAYKIN ; GONZALEZ
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11

4.2 Other Teaching and Learning Activities Information

Lectures: There will be three hours of lectures each week. Lectures will be used for presentation of course material, discussions and demonstrated solutions to problems with active student participation encouraged.

Tutorials: Students should attend at least one tutorial each week (starting in week 2). Tutorials will be used to reinforce understanding of the course material and gain hands-on experience with Matlab. Active student participation is expected.

Practicals: There are four two hour practicals. Practicals are designed to reinforce your learning of the course material. They are also designed to build the practical skills of students in sampling theory, filtering and audio signal processing. Practical activities are to be carried out in pairs. You should obtain a workbook in which to write your notes of the practical. The workbook should be an A4, bound notebook. All preparatory exercises, working notes and diagrams, code listings, etc., should be included in your workbook (as glued-in printouts if necessary). Your workbook will not be directly assessed, however, it is the only item you may take into the practical exam, so it is in your best interests to make it as complete as possible. Your workbook should be individual, i.e., it should be separate from your partner's workbook (although the contents may well be very similar).

Keeping a workbook is a good introduction to professional practice. Many people working in industry or research keep workbooks. Indeed, many employers insist that workbooks be maintained. These fully document the thoughts and steps behind any experiments or development. It is common commercial practice that each page of a workbook is signed and dated at the end of each day and often that this is witnessed by some independent person. Some organisations require that workbooks be kept in a fire-proof safe each night. The workbooks are legal documents which can be used, for example, to support patent claims.

Attendance: You are not required to attend any of the teaching sessions (except those in which an assessment activity is taking place), however, you are strongly encouraged to do so. The lectures, tutorials and practicals have been specifically designed to aid your learning of the course material. Failure to attend a session may result in you being disadvantaged. It is up to you to find out what happened at any class session that you miss.

Should you miss a tutorial or prac, you may be able to attend an alternative session. You should be prepared to provide documentary evidence of extenuating circumstances (e.g., a medical certificate). The capacity of the laboratories and the tutorial room is quite limited, so the possibility of attending a session other than your regularly scheduled session is quite low. Preference will be given to those students who have a legitimate excuse for missing a session.

5. Assessment

5.1 Assessment Summary

This is a summary of the assessment in the course. For detailed information on each assessment, see 5.5 Assessment Detail below.

Assessment Task
Due Date
Weighting
Learning Objectives
In Class Quiz
First Class Test
15 Aug 08 10:00 - 15 Aug 08 11:50
15%
1, 2, 3, 4, 5
Laboratory
Practical Assessment
18 Aug 08 09:00 - 24 Oct 08 17:00
15%
3, 4, 5, 6, 9, 10
Laboratory Report
Mean and Median Filters
18 Aug 08 09:00 - 10 Oct 08 17:00
10%
4, 6, 9, 10
In Class Quiz
Second Class Test
26 Sep 08 10:00 - 26 Sep 08 11:50
15%
1, 2, 3, 4, 5, 6, 9, 10, 11
Exam - during Exam Period (Central)
Final Examination
Examination Period
45%
1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12

5.2 Course Grading


Grade 1, Fail: Fails to demonstrate most or all of the basic requirements of the course:

 

A Grade of 1 will be awarded for an overall mark below 20%.



      The minimum percentage required for a grade of 1 is: 0%

Grade 2, Fail: Demonstrates clear deficiencies in understanding and applying fundamental concepts; communicates information or ideas in ways that are frequently incomplete or confusing and give little attention to the conventions of the discipline:

 

A Grade of 2 will be awarded for an overall mark below 45% but greater than or equal to 20%.



Grade 3, Fail: Demonstrates superficial or partial or faulty understanding of the fundamental concepts of the field of study and limited ability to apply these concepts; presents undeveloped or inappropriate or unsupported arguments; communicates information or ideas with lack of clarity and inconsistent adherence to the conventions of the discipline:

 

A Grade of 3 will be awarded for an overall mark below 50% but greater than or equal to 45%.



Grade 4, Pass: Demonstrates adequate understanding and application of the fundamental concepts of the field of study; develops routine arguments or decisions and provides acceptable justification; communicates information and ideas adequately in terms of the conventions of the discipline:

 

A Grade of 4 will be awarded for an overall mark below 65% but greater than or equal to 50%.

In addition, a mark of greater than 44% must also be achieved on the final examination.



Grade 5, Credit: Demonstrates substantial understanding of fundamental concepts of the field of study and ability to apply these concepts in a variety of contexts; develops or adapts convincing arguments and provides coherent justification; communicates information and ideas clearly and fluently in terms of the conventions of the discipline:

 

A Grade of 5 will be awarded for an overall mark below 75% but greater than or equal to 65%.

In addition, a mark of greater than 49% must also be achieved on the final examination.



Grade 6, Distinction: As for 5, with frequent evidence of originality in defining and analysing issues or problems and in creating solutions; uses a level, style and means of communication appropriate to the discipline and the audience:

 

A Grade of 6 will be awarded for an overall mark below 85% but greater than or equal to 75%.

In addition, a mark of greater than 49% must also be achieved on the final examination.



Grade 7, High Distinction: As for 6, with consistent evidence of substantial originality and insight in identifying, generating and communicating competing arguments, perspectives or problem solving approaches; critically evaluates problems, their solutions and implications:

 

A Grade of 7 will be awarded for an overall mark of 85% or greater.

In addition, a mark of greater than 49% must also be achieved on the final examination.


5.3 Late Submission

No extensions will be granted except in exceptional personal circumstances (documented medical reason or family emergency). Personal hardware or computer failures are not grounds for extension.

5.4 Other Assessment Information

The supplementary assesment for the in class Quizz will be an oral examination with the course coordinator.

5.5 Assessment Detail

First Class Test
Type: In Class Quiz
Learning Objectives Assessed: 1, 2, 3, 4, 5
Due Date:
         15 Aug 08 10:00 - 15 Aug 08 11:50
Weight: 15%
Perusal: 5 minutes
Duration: 45 minutes
Format: Multiple-choice
Task Description: A forty five minute in-class test will be held in place of one of the lectures. The test will consist of 20-25 multiple choice questions. The test will be closed book.
Criteria & Marking: Marks will be awarded for correct answers only. All questions will have equal value.  
Practical Assessment
Type: Laboratory
Learning Objectives Assessed: 3, 4, 5, 6, 9, 10
Due Date:
         18 Aug 08 09:00 - 24 Oct 08 17:00
Weight: 15%
Task Description:
The laboratory sessions will utilise both Matlab and Altium's NanoBoard-NB1, which is a field programmable gate array (FPGA) development board. The NB1 has been specially designed to take full advantage of Altium Designer, an integrated electronic product development system. The NanoBoard provides communications to and from the FPGA, plus access to a wide range of peripherals such as LCD, RAM, serial flash memory, keypad and analogue to digital/digital to analogue converters (ADC/DAC). Other input and output (IO) ports on the NanoBoard include PS2, RS232, CAN, VGA, and I2C, as well as a range of general purpose IO headers.
Practical work for this course will take place in the Robotics laboratories (47-210, Axon Building).  You should note that this laboratory is classified as an Engineering laboratory and workplace health and safety regulations require that covered footwear be worn in the laboratory. You should read the sections entitled "Using ITEE's Computer Laboratories" and "Usage Conditions for Computing Laboratories and Facilities" in the ITEE Student Help Pages. You will also be required to read and understand the "Occupational Health and Safety in the Laboratory" guidelines and fill out the declaration.  Failure to sign the declaration and/or abide by the guidelines will result in your exclusion from the laboratories.  In particular, if you fail to wear covered footwear, you will be excluded from your prac session.
Access to the laboratories will not be available outside scheduled practical sessions. However, as practical 4 (mean and median filters) is a Matlab only practical you can use this laboratory session to catch-up on an earlier practical that you may have missed. If you do this, then you must complete practical 4 in your own time and get the practical marked by the tutors DURING a scheduled laboratory session.
Students will have access to general computing resources, e.g., Windows PCs, in the School of ITEE. These resources may be used to access course electronic resources, e.g., the course website, and to undertake research and writing for assignments.

Criteria & Marking:

Three (3) scheduled practical sessions will be evaluated DURING the practical by the tutors. Marks will be awarded for answers to the preparation questions (which must be completed BEFORE the laboratory session) and the student's level of understanding and completeness of the sceduled laboratory tasks.

A total of 15 marks are available for the laboratory component of the course. Each of the three (3) practicals will have a total of five (5) marks available. Marks will be awarded individually to each student. The marks will be awarded as follows:

Preperation (2 marks):

  • A mark of zero (0) will be awarded when little or no attempt at (and/or understanding of) the preparation questions has been made;
  • A mark of one (1) will be awarded when a fair attempt at the preparation questions has been made. That is, the student can explain correct answers to approximately half of the preparation questions;
  • A mark of two (2) will be awarded when a good/excellent attempt at the preparation questions has been made. That is, the student can explain correct answers to all, or nearly all, of the preparation questions.

Completeness and understanding (3 marks):

  • A mark of zero (0) will be awarded when little or no attempt (and/or understanding) of the tasks outlined in the practical has been made;
  • A mark of one (1) will be awarded when a fair attempt at the practical has been made. That is, at least the first part of the practical has been reasonably attempted and understood;
  • A mark of two (2) will be awarded when a good attempt at the practical has been made. That is, the first and second parts of the practical have been reasonably attempted and understood;
  • A mark of three (3) will be awarded when an excellent attempt at the practical has been made. That is, all parts of the practical have been reasonably attempted and understood, including some aspects of the "challenge" tasks.

Note: Marks for laboratory sessions will be made available on the course web-site (NOT directly from the tutors during the laboratory session). 


Mean and Median Filters
Type: Laboratory Report
Learning Objectives Assessed: 4, 6, 9, 10
Due Date:
         18 Aug 08 09:00 - 10 Oct 08 17:00
Weight: 10%
Task Description:
During this experiment you will examine two digital filters: the moving average filter and the median filter. Both of these filters are often used to remove noise from signals, each filter being especially suited to removing certain types of noise. In this experiment you will characterise the moving average and median filters in terms of their responses to a number of test signals and by their ability to remove additive noise from these signals. In particular, you will investigate the trade-offs in performance observed when changing the length (i.e., order of the filter) and therefore the frequency response of the filters.
Each group of two (2) students are required to write a report that contains their answers to all of the questions posed in the laboratory sheet. Students should include, and refer to, graphs or plots of their results that support their answers to the questions.

Criteria & Marking:

There are five, multi-part, short answers questions that each have associated with them a possible mark from one (1) to six (6). There are a total of 45 marks available, including four (4) marks allocated for the quality of presentation, writing style, labelling of axes on graphs and appropriate referencing of results.

Please submit one report per laboratory group.

Penalties will be enforced for late submissions.


Second Class Test
Type: In Class Quiz
Learning Objectives Assessed: 1, 2, 3, 4, 5, 6, 9, 10, 11
Due Date:
         26 Sep 08 10:00 - 26 Sep 08 11:50
Weight: 15%
Perusal: 5 minutes
Duration: 45 minutes
Format: Multiple-choice
Task Description: A forty five minute in-class test will be held in place of one of the lectures. The test will consist of 20-25 multiple choice questions. It will be closed book.
Criteria & Marking: Marks will be awarded for correct answers only. All questions will have equal value.  
Final Examination
Type: Exam - during Exam Period (Central)
Learning Objectives Assessed: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12
Due Date:
         Examination Period
Weight: 45%
Perusal: 10 minutes
Duration: 180 minutes
Format: Short answer, Problem solving
Task Description:

A three-hour final examination will be held during the final examination period.

You may bring one (1) two-sided A4 sheet of handwritten notes and formulae into the examination room. 

Students are permitted to use an EPSA approved and labelled non-programmable calculator in this examination. More details on EPSA approved calculators can be found at http://www.epsa.uq.edu.au/calculators.html. The use of unlabelled calculators or other computing or communication devices is NOT permitted.


Criteria & Marking: This exam will be closed-book and will contain both short-answer and problem solving (calculation) questions. The examination will test understanding of the various theoretical, computational and design techniques covered throughout the course. Marks for all questions will be as specified. You must attempt all questions.

6. Policies & Guidelines

 
This section contains the details of and links to the most relevant policies and course guidelines. For further details on University Policies please visit myAdvisor and the University Handbook of Policies and Procedures.

6.1 Assessment Related Policies and Guidelines

University Policies & Guidelines

An overview of the University’s assessment-related policies can be found on myAdvisor (http://www.uq.edu.au/myadvisor/index.html?page=2910).

Academic Integrity
It is the University's task to encourage ethical scholarship and to inform students and staff about the institutional standards of academic behaviour expected of them in learning, teaching and research. Students have a responsibility to maintain the highest standards of academic integrity in their work. Students must not cheat in examinations or other forms of assessment and must ensure they do not plagiarise.

Plagiarism
The University has adopted the following definition of plagiarism:

Plagiarism is the act of misrepresenting as one's own original work the ideas, interpretations, words or creative works of another. These include published and unpublished documents, designs, music, sounds, images, photographs, computer codes and ideas gained through working in a group. These ideas, interpretations, words or works may be found in print and/or electronic media.

Students are encouraged to read the UQ Academic Integrity and Plagiarism policy (http://www.uq.edu.au/hupp/index.html?page=25128) which makes a comprehensive statement about the University's approach to plagiarism, including the approved use of plagiarism detection software, the consequences of plagiarism and the principles associated with preventing plagiarism.

Feedback on Assessment
Feedback is essential to effective learning and students can expect to receive appropriate and timely feedback on all assessment. For a detailed explanation of the feedback you are entitled to, you should consult the policy on Student Access to Feedback on Assessment. (http://www.uq.edu.au/hupp/index.html?page=25109)

As a student you have a responsibility to incorporate feedback into your learning; make use of the assessment criteria that you are given; be aware of the rules, policies and other documents related to assessment; and provide teachers with feedback on their assessment practices.

There are certain steps you can take if you feel your result does not reflect your performance. Please refer to the myAdvisor web site. (http://www.uq.edu.au/myadvisor/index.html?page=2953)

School of Information Technology and Electrical Engineering Assessment Guidelines

Misconduct

Further to the statement on academic integrity and plagiarism above, students are required to read and understand the ITEE policy on Student Misconduct (http://www.itee.uq.edu.au/about_ITEE/policies/student-misconduct.html).

Late Arrival or Non-attendance at Examinations

The policy and procedure for late arrival or non-attendance at centrally controlled examinations is set out in the University's Examinations policy (HUPP 3.30.5), sections 8 and 10.2.

The way in which late arrival at a School-controlled examination is dealt with will be at the discretion of the course coordinator, who may be guided by the policy for centrally controlled exams.

In the case that a student requests a special exam for a School-controlled exam, the request will be considered and, if allowed, the timing shall be determined by the course coordinator, in consultation with the School's Chief Examiner where necessary, and in accordance with HUPP 3.30.5. Unless otherwise indicated in the Course Profile, applications must be made in writing to the Head of School no later than one week after the exam. Late applications will not be accepted.
 
Examination Feedback
 
In addition to the advice above, students wishing to view examination answer scripts and/or question papers should consult with the School office (Room 217, General Purpose South Building [78], St Lucia; Room 218, Building 1, Ipswich) regarding arrangements. The ITEE policy on exam script viewing is available at http://study.itee.uq.edu.au/current_students/exam_script_viewing.html.

Supplementary Assessment

If you fail this course you may be eligible for supplementary assessment - see the general award rules and/or your program rules for details. You should note that even though you may be eligible for supplementary assessment under these rules, in some circumstances there may be no practical assessment that can be offered to allow you to meet the minimum passing requirements. These circumstances may include failure based on:
  • group or team based assessment;
  • attendance or class participation requirements;
  • laboratory-based assessment, where laboratories can't practically be made available after classes have finished;
  • project or thesis-based assessment, where a significant period of time would be required to undertake supplementary assessment;
  • progressive assessment, where subsequent assessment items build on earlier assessment items; or
  • multiple assessment items, where it is impractical to offer multiple supplementary assessment items.
If the course coordinator determines that there is no practical supplementary assessment that can be offered to allow you to improve your grade, then you will not be offered supplementary assessment and your grade will remain unchanged.

6.2 Other Policies and Guidelines

University Policies and Guidelines

Placement Courses
Students on a placement course – also known as a work placement, internship, industry study, industry experience, clinical practice, clinical placement, practical work, practicum, fieldwork, teaching practice – should refer to the University policy, Placement Courses (http://www.uq.edu.au/hupp/index.html?page=25120) for detailed information.
 
Working with Children
Students whose studies include a professional/work placement, internship, clinical practice, teaching practice or other similar activity which involves them in regular contact with children should refer to the University policy, Working with Children Check - "blue card" (http://www.uq.edu.au/hupp/index.html?page=25004) to find out how to apply for a ‘blue card’.
 
Students with a Disability
Any student with a disability who may require alternative academic arrangements, including assessment, in the course/program is encouraged to seek advice at the commencement of the semester from a Disability Adviser at Student Support Services. Refer to the University policy, Students with a Disability (Disability Action Plan) (http://www.uq.edu.au/hupp/index.html?page=25122) and to the policy on Special Arrangements for Examinations for Students with a Disability (http://www.uq.edu.au/hupp/index.html?page=25111

Where an adjustment is made to an accredited program, it is the responsibility of the relevant Faculty to liaise with professional and registration bodies regarding the acceptability of the change/s.  

Occupational Health and Safety
Undergraduate Students (http://www.uq.edu.au/hupp/index.html?page=25055) and Postgraduate Students (http://www.uq.edu.au/hupp/index.html?page=25057) should be familiar with the University policies on occupational health and safety in the laboratory.

Other School of Information Technology and Electrical Engineering Guidelines

Ethical Clearance
If your course involves assignment or project work involving human subjects or human-related materials, you must investigate the need for ethical clearance and obtain it when required. Information on ethical clearance can be found at http://www.uq.edu.au/research/orps/index.html?page=5064&pid=5256.

Learning Summary

 

Below is a table showing the relationship between the learning objectives for this course and the broader graduate attributes developed, the learning activities used to develop each objective and the assessment task used to assess each objective.

Learning Objectives

After successfully completing this course you should be able to:

1  Understand the role of the Laplace and z-transforms, poles and zeros in the analysis of continuous-time and discrete-time signals and systems
2  Be able to calculate Laplace and z-transforms and their inverses and be able to use them to solve differential and difference equations
3  Understand the Nyquist sampling theorem and its implications in signal and image processing systems
4  Understand the concepts of amplitude distortion, phase distortion and group delay in filters
5  Design discrete-time filters using IIR and FIR techniques
6  Understand random processes and the principals of stochastic signal processing
7  Understand the computational benefits of the fast Fourier transform (FFT) in signal and image processing
8  Understand images as two-dimensional signals, their acquisition and the extension of the common DSP techniques to images.
9  Appreciate the architectural features necessary for digital signal processors and obtain hands-on experience with DSP programming.
10  Express DSP computations and algorithms in MATLAB and C
11  Comprehend the broad applicability of signal and image processing for further studies in this field, especially in communications and in biomedical signal processing
12  Appreciate the advantages of the time-frequency analysis, such as the Wavelet Transform and short-time Fourier transform


Assessment & Learning Activities

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Learning Activities
Introduction to Digital Signal Processing (Lecture Series)
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Practical Aspects of Digital Signal Processing (Lecture Series)    
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DSP with the NanoBoard (Practical)    
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Introduction to Image Processing (Lecture Series)    
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Course Review and Revision (Lecture Series)
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Assessment Tasks
First Class Test
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Practical Assessment    
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Mean and Median Filters      
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Second Class Test
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Final Examination
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Graduate Attributes

Successfully completing this course will contribute to the recognition of your attainment of the following UQ (Undergrad Pass) graduate attributes:

  Learning Objectives
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Graduate Attributes
A IN-DEPTH KNOWLEDGE OF THE FIELD OF STUDY
A1. A comprehensive and well-founded knowledge in the field of study.
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A4. An understanding of how other disciplines relate to the field of study.      
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A5. An international perspective on the field of study.                    
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B EFFECTIVE COMMUNICATION
B1. The ability to collect, analyse and organise information and ideas and to convey those ideas clearly and fluently, in both written and spoken forms.                        
B2. The ability to interact effectively with others in order to work towards a common outcome.                
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B3. The ability to select and use the appropriate level, style and means of communication.                  
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B4. The ability to engage effectively and appropriately with information and communication technologies.                
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