SIGNAL & SYSTEMS II

The main emphasis of the course is the discrete-time signals and systems (sampling, convolution, Fourier transforms discrete time -DTFT, DFT, FFT-), and the stochastic signals.

Objectives

Upon successful completion of this course the student will be able - To process and analyze discrete-time signals and systems - To digitize correctly otherwise continuous signals - To calculate the frequency content of discrete-time signals - To design basic digital filters

Prerequisites

Applied Mathematics I (22Υ312) Applied Mathematics II (22Υ412) Signals and Systems I (22Υ411)

Syllabus

This course provides the basic knowledge background in signals and systems. This knowledge is a prerequisite for many of the following courses such as communications, control or signal processing and image. The material includes the following: - Introduction to discrete-time systems - Discrete Fourier Transform and Properties - Discrete and Fast Transform Fourier (DTF-FFT) - Sampling Signal - Transformation Z - Analysis and design of discrete-time systems (filters) by geometric / Graphics methods