The subject matter of this course is central to the mathematical analysis
of linear systems arising in many areas of science and engineering.
This provides a foundation for the analysis and processing of various
kinds of media and information that are pervasive in modern society.
Contents: Basics of discrete- and continuous-time signals and systems,
sinusoids and complex exponentials, phasor representation, spectrum
representation, sampling and aliasing, Shannon/Nyquist sampling theorem,
finite impulse response (FIR) filters, frequency response of FIR filters,
z-transforms, infinite impulse response (IIR) filters, continuous-time
signals and systems, linearity, time-invariance, linear time-invariant (LTI)
systems, convolution, causality, stability, frequency response of systems,
continuous-time Fourier transform.
Credit units: 3, ECTS Credit units: 6, Prerequisite: MATH 102.