Practical Work : Signal Processing
Loading...
Date
2025-04-13
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of M'sila
Abstract
The signal processing practical work (TP) aims to experiment with and analyze the
different processing methods applied to analog and digital signals. The objectives of these
practical sessions are: to understand the fundamental concepts of signal processing, to analyze
a signal in the time and frequency domains, to apply filtering and transformation techniques,
to use tools like MATLAB, Python or a digital oscilloscope, etc.
This document is a pedagogical support for the Signal Processing Practical Work
intended for first-year Master's students in Automation and Systems in the Department of
Electrical Engineering (Faculty of Technology). This practical work compendium is
organized into five practical sessions:
The first practical session presents how to generate and visualize some signals, perform
convolution between two analog signals, and how to determine the correlation between two
continuous signals using MATLAB.
The objective of the second practical session is to apply the acquired knowledge on
filtering. We will see, using Matlab, the different ideal filters applied in various fields such as
electronics, automation, etc.
The third practical session is to address the basic concepts of the discrete Fourier
transform. Then, perform the spectral analysis of non-periodic signals.
In the fourth practical session, we will present the concept of an infinite impulse response
(IIR) linear process, alternating simulation programs of the impulse response by two methods:
using the "filter" and "impz" commands, as well as the system response to a noisy input and
the representation of poles and zeros.
We will complete this document with a practical session that focuses on the concept of a
finite impulse response (FIR) linear process.