Signals and systems is a third-year course in the Electrical Engineering program that addresses the fundamental concepts of continuous-time and discrete-time linear time-invariant systems. The course covers transform-domain techniques (Fourier, Laplace and Z-transforms) as well as the concept of convolution. Sampling theory is covered to convert signals from the analog to digital domain. Reconstruction theory is covered to convert signals from the digital to the analog domain. Practical implementation issues, such as aliasing in the sampling process, are covered along with fundamental signal and system parameters such as energy, power and bandwidth.
- Teacher: Ms. Lana Altarteer
- Teacher: Professor. Andrew Nix