This course covers the basic concepts and techniques for the modeling and analysis of signals and systems. Topics include signals, system properties, linear time-invariant systems, convolution, impulse response in continuous-time and discrete-time domains; Fundamentals of Fourier series; Fourier transforms, spectral analysis; Laplace transforms, and frequency response; sampling, reconstruction, and digitization; z transform and frequency response; fundamental concepts of filtering in continuous-time and discrete-time domains; Computational realizations of the analysis tools and their applications are explored in the laboratory.
(Lec: 3, Lab: 0.5, Tut: 0.5)