ENGR 200 Electrical Fundamentals: Discrete-Time Signal Processing

This course introduces the fundamental principles of discrete-time signal analysis. Topics include the representation of discrete-time signals and systems and how they relate to continuous-time. The concept of Linear time-invariant (LTI) systems is introduced as well as system response to the unit impulse. Discrete-time frequency domain analysis and numerical applications are covered. An emphasis is placed on both theoretical foundations and practical implementation for engineering applications.

Credits

Prerequisite

ENGR 103 Engineering Computation and Algorithmic Thinking and MTH 251Z Differential Calculus with a grade of C or better.

Notes

Lower Division Transfer (LDT) Course

Outcomes

Identify and categorize discrete-time signals and systems. Express sinusoidal signals as complex exponentials or phasors. Apply convolution to discrete-time signals. Conduct signal analysis in the frequency domain using the discrete-time Fourier transform and discrete-time Fourier series. Utilize software tools to analyze and process discrete time signals.