Course Title: Digital Signal Processing for Communication Engineering
Part A: Course Overview
Course Title: Digital Signal Processing for Communication Engineering
Credit Points: 12.00
Terms
Course Code |
Campus |
Career |
School |
Learning Mode |
Teaching Period(s) |
EEET1416 |
City Campus |
Undergraduate |
125H Electrical & Computer Engineering |
Face-to-Face |
Sem 1 2006, Sem 1 2008, Sem 1 2009, Sem 1 2010, Sem 1 2011, Sem 1 2012, Sem 1 2013, Sem 1 2014, Sem 1 2015, Sem 1 2016 |
EEET1416 |
City Campus |
Undergraduate |
172H School of Engineering |
Face-to-Face |
Sem 1 2017, Sem 1 2018, Sem 1 2020, Sem 1 2024 |
Course Coordinator: Dr Saman Atapattu
Course Coordinator Phone: -
Course Coordinator Email: saman.atapattu@rmit.edu.au
Course Coordinator Location: -
Course Coordinator Availability: by appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
Required Prior Study
You should have satisfactorily completed EEET2369 Signals and Systems 1 and EEET2554 Communication Engineering 1 before you commence this course.
Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.
Contact your course coordinator if you think you may be eligible for recognition of prior learning.
Course Description
Digital signal processing is an important aspect in the current era of communication engineering especially in wireless and mobile communication. Though deterministic signals are transmitted to communicate information in reality what we receive actually are corrupted signals that are random in nature. In this course therefore we cover random signal theories and its applications to communication engineering in order to understand the behaviour of communication signals and improve the performance of communication systems by performing intelligent signal processing.
The topics covered in this course are;
- A quick recap of Discrete Fourier Transform (DFT), spectral analysis, filter design and windowing functions
- Fundamentals of random signal theory and analysis, and LTI system response to random signals
- Modelling communication signals as random processes
- Baseband signal processing, signal synthesis and filter design for communication
- Statistical signal processing in communication for signal detection and synchronization
Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onward. See the WAM information web page for more information.
Objectives/Learning Outcomes/Capability Development
This course contributes to the following Program Learning Outcomes (PLOs) for:
BH073P23 Bachelor of Engineering (Electronic and Computer Systems Engineering) (Honours)
BH111ECH23 Bachelor of Engineering (Electronic and Computer Systems Engineering) (Honours) / Bachelor of Business
PLO 1: Demonstrate an in-depth understanding and knowledge of fundamental engineering and scientific theories, principles and concepts and apply advanced technical knowledge in specialist domain of engineering.
PLO 2: Utilise mathematics and engineering fundamentals, software, tools and techniques to design engineering systems for complex engineering challenges.
PLO 4: Apply systematic problem solving, design methods and information and project management to propose and implement creative and sustainable solutions with intellectual independence and cultural sensitivity.
This course contributes to the following Program Learning Outcomes (PLOs) for:
BH071 Bachelor of Engineering (Electronic and Communication Engineering) (Honours)
BH071P17 Bachelor of Engineering (Telecommunications Engineering)(Honours)
BH072 Bachelor of Engineering (Computer and Network Engineering)(Honours)
BH073 Bachelor of Engineering (Electrical and Electronic Engineering)(Honours)
BH091CNHDD Bachelor of Engineering (Computer and Network Engineering)(Honours)/Bachelor of Computer Science
BH094ECHDD Bachelor of Engineering (Electronic & Communication Engineering)(Honours)/Bachelor of Computer Science
BH094TEHDD Bachelor of Engineering (Telecommunications Engineering) (Honours) /Bachelor of Computer Science
BH097ECHDD Bachelor of Science (Physics) / Bachelor of Engineering (Electronic & Communication Engineering)(Honours)
BH097TEHDD Bachelor of Science (Physics) / Bachelor of Engineering (Telecommunications Engineering)(Honours)
BH107CNHDD Bachelor of Engineering (Computer and Network Engineering)(Honours)/Bachelor of Business (Management)
BH109EEHDD Bachelor of Engineering (Electrical and Electronic Engineering)(Honours)/Bachelor of Business (Entrepreneurship)
BH110EEHDD Bachelor of Engineering (Electrical and Electronic Engineering)(Honours)/Bachelor of Business (International Business)
BH111EEHDD Bachelor of Engineering (Electrical and Electronic Engineering)(Honours) / Bachelor of Business (Management)
1 Knowledge and Skill Base
1.3 In-depth understanding of specialist bodies of knowledge within the engineering discipline.
2 Engineering Application Ability
2.1 Application of established engineering methods to complex engineering problem solving.
2.2 Fluent application of engineering techniques, tools and resources.
For more information on the program learning outcomes for your program, please see the program guide.
Upon successful completion of this course, you will be able to:
- Analyse signals in communication systems
- Process random signals to meet a particular requirement
- Simulate, synthesize and process communication signals using software tools
- Write signal processing algorithms and methods with minimal supervision and communicate the outcomes as a written report
Overview of Learning Activities
You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both.
You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, andthrough links and material specific to this course that is available through myRMIT Studies Course.
Overview of Learning Resources
RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course.
There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.
Overview of Assessment
This course has no hurdle requirements.
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Assessment Tasks Assessment Task 1: Lab-Exam 1 Assessment Task 2: Mid-Semester Assessment Assessment Task 3: Lab-Exam 2 Assessment Task 4: End-of-Semester Written Test |
If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.