ELEC ENG 4112 - Signal Processing Applications

Signal processing is a critical part of modern engineering systems, thanks to advances in computer hardware. Its versatility and high performance relative to cost have made them indispensable in a diverse range of applications. This course will provide students with an advanced understanding of signal processing principles and develop skills suitable for a wide range of applications. It is an elective course in the Bachelor of Engineering (Honours) (Electrical and Electronic) program. Students will learn the mathematical concepts underpinning signal processing techniques and apply them to solve problems in applications such as spectrum estimation, adaptive and optimum filtering, time-frequency analysis, multi-rate systems and wavelets. The course is delivered on campus, with an in-person component centred around workshops, and supported by tutorials. Learning activities at the scheduled sessions include group discussions and Matlab exercises. Assessment activities include workshop and tutorial participation, individual assignments and tests. The set of assessments is designed to allow students to demonstrate their ability to apply signal processing techniques to solve real engineering problems. Upon completion of the course, students will be able to recommend and implement signal processing algorithms suitable for a wide range of engineering applications. These skills will allow students to work effectively as electrical and electronic engineers, or to pursue higher degrees by research.