Unit Code: EEB831

Unit Name: Digital Signal Processing

Description: The signal is a physical quantity that can be mathematically modelled as a function with some independent variable(s) to represent the behaviour of a physical system. Signals range from electrical signals, speech, audio, image and video in multimedia systems, biomedical signals, to electronic radar waveforms in the military. When analyzing signals and designing systems, engineers will face several challenges relating to signal acquisition, filtering and pre-processing for improving SNR, and system stability. In this course, you will learn how to acquire different signals, design filters using several methods, and analyse discrete-time systems. You will learn to use MATLAB? to process and analyse real-life electrical signals.

Learning Target Outcomes: On successful completion of this course, students should be able to: 1. Understand and apply the concepts of sampling and reconstruction of signals. (WA1) 2. Determine and analyse discrete-time systems and their response to a given input/signal. (WA2) 3. Apply the DSP tools and techniques, Discrete Z-transform, and Fast Fourier Transform for signal analysis. (WA1) 4. Design and implement FIR and IIR filters to meet the given requirements. (WA3) 5. Apply the appropriate industry practices, emerging technologies, state-of-the-art design techniques, software tools, and research methods to analyse, evaluate and solve electrical and computer engineering problems (related to signal processing). (WA5, WA10)

Prerequisite: EEB731

Prerequisite Sentence: N/A

Credit Point: 15

Offered In: Semester 1