SIGNALS & NETWORK (SKEU 3043) | SIGNALS & SYSTEM (SEEE 2073)

This course introduces the students the fundamental ideas of signals and system analysis. The signal representations in both time and frequency domains and their effects on systems will be explored. Specifically, the topics covered in the course include basic properties of continuous-time and discrete-time signals, the processing of signals by linear time-invariant (LTI) systems, Fourier series, Fourier and Laplace transforms.

Important concepts such as impulse response, frequency response and system transfer functions as well as techniques of filtering and filter design, modulation, and sampling, are discussed and illustrated. This course will serve as a central building block for students in studying information processing in many engineering fields such as control systems, digital signal processing, communications, circuit design, etc.

In the end of this course, students should be able to:

• Demonstrate the characteristics and properties of continuous-time and discretetime signals and systems

• Use Fourier series analysis to describe signals and linear time-invariant (LTI) continuoustime systems in time domain

• Demonstrate different usage of Fourier and Laplace transforms and its inverse in frequency domain

• Apply Fourier theory to first-order analog filter design based on frequency response specifications and transfer function representations

• Work collaboratively with a group of people in order to achieve common objectives