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School of Engineering · ANU College of Systems and Society
Digital Signal Processing (DSP) is a fundamentally essential tool for all modern technology in Electrical and Mechanical Engineering fields. DSP has penetrated many domains of applications, such as digital communications, medical imaging, audio & video systems, human-machine interaction, robotics, remote sensing, finance, autonomous vehicles, etc. The Discrete-Time Signal Processing paradigm is a convenient setting to analyse the basic principles of DSP. At the end of this course, the students should be able to understand these basic principles, and apply fundamental algorithms and methods to analyse and design discrete-time systems for modern DSP applications. While the course will focus on the study of theoretical concepts, methods and algorithms, the student will also be confronted with application and implementation issues, through various examples and assignments requiring personal computer work including processing of real-world signals.
Weekly Quizzes
Learning outcomes 1, 2, 3, 4
Matlab Project
Learning outcomes 2, 4, 5, 6, 7
Final Exam
Learning outcomes 1, 2, 3, 4, 5, 6
Approximately 10 hours per week. The contact hours include 1 x 2 hrs lecture and 1 x 1 hr lecture, plus up to 1 x 1.5 hrs tutorial per week. Work Integrated Learning Projects You will undertake an individual project in this course to deal with application and implementation issues, through various examples and assignments requiring personal computer work including processing of real-world signals. Other Information Professional Skills Mapping: Mapping of Learning Outcomes to Assessment and Professional Competencies
not applicable