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ELE3107 Signal Processing

Semester 2, 2019 On-campus Springfield
Short Description: Signal Processing
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Mechanical and Electrical Engineering
Student contribution band : Band 2
ASCED code : 031399 - Electrical, Electronic Enginee
Grading basis : Graded


Examiner: John Leis

Other requisites

Recommended prior or concurrent study: ELE2103


Digital signal processing is essential in many telecommunications, instrumentation, measurement, control and power applications. As such, a working knowledge of digital sampling and discrete-time processing provides an essential basis for understanding existing engineering systems, and facilitates the design of new systems for emerging applications.


Signal processing is the treatment of signals to enable detection, classification, transmission or enhancement. Such signals may, for example, be the apparent noise generated by a mechanical process, music, speech or other audio, or a video image. This course aims to give the student a thorough grounding in the theoretical and practical aspects of digital signal processing. Practical applications of signal processing are emphasised via directed experimentation and assignment work.


The course objectives define the student learning outcomes for a course. On completion of this course, students should be able to:

  1. distinguish between a deterministic and a random signal;
  2. describe any signal probabilistically in terms of amplitude and spatial, frequency or temporal functions;
  3. describe a deterministic signal in terms of transforms and difference equations;
  4. design and implement signal processing algorithms for sampled signals such as audio;
  5. design and implement signal processing algorithms for sampled two-dimensional signals such as images;
  6. design and implement digital filter algorithms for signal conditioning problems;
  7. be able to implement signal processing algorithms such as Fourier transforms, convolution, correlation, and filtering.


Description Weighting(%)
1. Fourier analysis 20.00
2. Random processes 20.00
3. Digital signal processing 50.00
4. Information theory 10.00

Text and materials required to be purchased or accessed

ALL textbooks and materials available to be purchased can be sourced from USQ's Online Bookshop (unless otherwise stated). (

Please contact us for alternative purchase options from USQ Bookshop. (

Leis, J 2011, Digital signal processing using MATLAB for students and researchers, John Wiley & Sons, Hoboken, New Jersey.
MATLAB Student Edition.

Reference materials

Reference materials are materials that, if accessed by students, may improve their knowledge and understanding of the material in the course and enrich their learning experience.

Student workload expectations

Activity Hours
Assessments 52.00
Examinations 2.00
Lectures 39.00
Private Study 62.00

Assessment details

Description Marks out of Wtg (%) Due Date Objectives Assessed Notes
ASSIGNMENT 1 200 20 11 Sep 2019 1,2,3,4
ASSIGNMENT 2 200 20 23 Oct 2019 4,6,7
2 HOUR CLOSED EXAMINATION 600 60 End S2 1,2,3,4,5,6,7 (see note 1)

  1. Student Administration will advise students of the dates of their examinations during the semester.

Important assessment information

  1. Attendance requirements:
    It is the students' responsibility to attend and participate appropriately in all activities (such as lectures, tutorials, laboratories and practical work) scheduled for them, and to study all material provided to them or required to be accessed by them to maximise their chance of meeting the objectives of the course and to be informed of course-related activities and administration.

  2. Requirements for students to complete each assessment item satisfactorily:
    To satisfactorily complete an assessment item a student must achieve at least 50% of the marks or a grade of at least C-. Students do not have to satisfactorily complete each assessment item to be awarded a passing grade in this course. Refer to Statement 4 below for the requirements to receive a passing grade in this course.

  3. Penalties for late submission of required work:
    Students should refer to the Assessment Procedure (point 4.2.4)

  4. Requirements for student to be awarded a passing grade in the course:
    To be assured of receiving a passing grade a student must obtain at least 50% of the total weighted marks available for the course (i.e. the Primary Hurdle), and have satisfied the Secondary Hurdle (Supervised), i.e. the end of semester examination by achieving at least 40% of the weighted marks available for that assessment item.

    Supplementary assessment may be offered where a student has undertaken all of the required summative assessment items and has passed the Primary Hurdle but failed to satisfy the Secondary Hurdle (Supervised), or has satisfied the Secondary Hurdle (Supervised) but failed to achieve a passing Final Grade by 5% or less of the total weighted Marks.

    To be awarded a passing grade for a supplementary assessment item (if applicable), a student must achieve at least 50% of the available marks for the supplementary assessment item as per the Assessment Procedure (point 4.4.2).

  5. Method used to combine assessment results to attain final grade:
    The final grades for students will be assigned on the basis of the weighted aggregate of the marks (or grades) obtained for each of the summative assessment items in the course.

  6. Examination information:
    In a Closed Examination, candidates are allowed to bring only writing and drawing instruments into the examination.

  7. Examination period when Deferred/Supplementary examinations will be held:
    Any Deferred or Supplementary examinations for this course will be held during the next examination period.

  8. University Student Policies:
    Students should read the USQ policies: Definitions, Assessment and Student Academic Misconduct to avoid actions which might contravene University policies and practices. These policies can be found at

Assessment notes

  1. Students must familiarise themselves with the USQ Assessment Procedures (

  2. Referencing in Assignments must comply with the Harvard (AGPS) referencing system. This system should be used by students to format details of the information sources they have cited in their work. The Harvard (APGS) style to be used is defined by the USQ library’s referencing guide. These policies can be found at

Other requirements

  1. Students will require access to e-mail and internet access to UConnect for this course.