Signals and Systems

Course Description:
Concepts and mathematical tools in continuous and discrete-time signal processing and linear systems analysis with examples from digital signal processing, communications, and control. Discrete-time signal models. Discrete-time impulse and step response. Frequency domain representations: Fourier series and transforms. Connection between continuous and discrete time frequency representations. Discrete Fourier Transforms (DFT). Discrete-time and hybrid linear systems. Stability and causality. Z transforms and their connection to Laplace transforms. Frequency response of discrete-time systems.

Course Outline:
1. Introduction 2. Continuous time signals and system 3. Continuous time linear , time invariant system 4. Fourier series and Fourier transformation 5. Laplace transformation