Course Title:

Signal and Systems

Instructions hours per week:

Theory 2 + Exercises 1

Teaching Semester:

3^rd

Prerequisites:

Mathematics I, Mathematics II

Credits:

5

Course Objectives

The aim of the course is the study of continuous and discrete-time signals and systems. The course presents the fundamentals of signals, the basic categories of systems and analysis of linear time-invariant systems. The course material includes analogue-to-digital signal conversion (sampling theorem), the convolution in continuous and discrete time, the Fourier transform, Fourier series, discrete transform Fourier (DFT), fast Fourier (FFT ) transform and z-transform. Furthermore, the students are taught the concepts of system function, system stability, causality, time invariant system, differential equations, impulse response, transfer function, spectral density, cross-correlation, autocorrelation. Finally, there is an introduction to the design of digital filters of finite impulse response (FIR).