# EE150: Signals and Systems

## Course Descriptions

 Signals and Systems is an introduction to analog and digital signal processing, a topic that forms an integral part of engineering systems in many diverse areas, including seismic data processing, communications, speech processing, image processing, video processing, defense electronics, consumer electronics, and consumer products. The course presents and integrates the basic concepts for both continuous-time and discrete-time signals and systems. Signal and system representations are developed for both time and frequency domains. These representations are related through the Fourier transform and its generalizations, which are explored in detail. Filtering and filter design, modulation, and sampling for both analog and digital systems, as well as exposition and demonstration of the basic concepts of feedback systems for both analog and digital systems, are discussed and illustrated.

This course is companioned by a lab component (EE150L: Signals and Systems Lab).

## Announcements

1. Time: Tue/Thu 8:15am-9:55am, Venue: Blackboard (Bb) e-learning platform.

## Prerequisites

1. Compulsory: Mathematical Analysis, Linear Algebra, Complex Analysis.

2. Recommended: Methods of Mathematics or Mathematical Methods for Physics, EE111 Electric Circuits.

## Textbooks and Optional References

1. Signals and Systems (2nd Edition) (Pearson), by A. V. Oppenheim, A. S. Willsky, and S. Hamid.

2. Signals and Systems Using MATLAB® (2nd Edition) (Academic Press), by L. F. Chaparro.

## Schedule

Part I

1. Signals and systems (one week)

2. Linear time-invariant systems (one week)

3. Fourier series (two weeks)

4. Continuous-time Fourier transform (two weeks)

5. Discrete-time Fourier transform (two weeks)

Part II

1. Time and frequency characterization of signals and systems, filters design (two weeks)

2. Sampling (two weeks)

3. Laplace transform, circuit analysis (two weeks)

4. Z-transform (two weeks)

Part III (optional)

1. Financial signals and systems

3. Acoustic/(biomedical) imaging signals and systems

4. Linear feedback systems

## Assessment

20% homework, 30% mid-term exam, 50% final exam.