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Unit Code: EEB731

Unit Name: Signals and Systems

Description: Signals and Systems are an introduction to analogue and digital signal processing. Signals and systems form an integral part of engineering systems in many diverse areas, including seismic data processing, communication, speech processing, image processing and consumer electronics. When analyzing signals and designing systems, engineers will face several challenges relating to the characteristics and representation of various types of signals. This course will teach you the fundamental characteristics and representation of various types of signals in the time and frequency domain. You will learn to use MATLAB? to represent and characterize different signals.

Learning Target Outcomes: On successful completion of this course, the student should be able to: 1. Classify signals (e.g. periodic, even) and systems (e.g. causal, linear) and analyze the difference between discrete and continuous time signals and systems. (WA1) 2. Analyze signals coming from diverse disciplines and represent them in terms of elementary signals, such as course step, course ramp, and parabolic, sinusoidal and complex exponential signals. (WA2) 3. Understand the basic signal operations such as signal transformation and convolution and generate the response of linear systems. (WA3) 4. Investigate and apply basic properties of Fourier series, Fourier transforms, and Laplace transforms. (WA4) 5. Represent signals, model systems, and determine the response of linear systems to any input signal by transformation to the frequency domain and inverse transformation to the time domain. (WA3, WA5)

Prerequisite: EEB604

Prerequisite Sentence: N/A

Credit Point: 15

Offered In: Semester 1