ECE 30100 - Signals And Systems

Description of deterministic signals through the use of Fourier series. Fourier and Z-transforms. Systems description treated by differential and difference equations including transform methods. Computation of system response to both continuous and discrete inputs.

Preparation for Course
P: ECE 20200.

Cr. 3.
Student Learning Outcomes
1.   An ability to classify signals (e.g., periodic, even) and systems (e.g., causal, linear) and an understanding of the difference between discrete and continuous time signals and systems.
2.   An ability to determine the impulse response of a differential or difference equation.
3.   An ability to determine the response of linear systems to any input signal by convolution in the time domain.
4.   An understanding of the definitions and basic properties (e.g., time-shift, modulation, Parseval’s Theorem) of Fourier series, Fourier transforms, bilateral Laplace transforms, Z transforms, and discrete time Fourier transforms and an ability to compute the transforms and inverse transforms of basic examples using methods such as partial fractions expansions.
5.   An ability to determine the response of linear systems to any input signal by transformation to the frequency domain, multiplication, and inverse transformation to the time domain, an ability to apply the Sampling theorem, reconstruction, aliasing, and Nyquist’s theorem to represent continuous-time signal in discrete time so that they can be processed by digital computers.