Signals and Systems

An introduction to electrical signals, systems, and signal processing technologies are reviewed. Topics include: description and analysis of systems, mathematical representation of signals, sampling, aliasing, discrete and continuous signal representation, conversion and processing strategies, transforms (Laplace, Fourier, z-), Finite Impulse Response (FIR) filters, Infinite Impulse Response (IIR) filters, spectrum representation. Theory, principles and strategies for problem-solving in signals and systems design will be applied to address real-world challenges. Throughout the course, examples in signal processing are provided both theoretically and in practice with Matlab/Octave, and students will solve related problems with both techniques in class and lab.