Practical Work : Signal Processing

dc.contributor.authorDr. HERIZI Abdelghafour
dc.date.accessioned2025-09-28T08:16:20Z
dc.date.available2025-09-28T08:16:20Z
dc.date.issued2025-04-13
dc.description.abstractThe 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.
dc.identifier.other68/2025
dc.identifier.urihttps://repository.univ-msila.dz/handle/123456789/47545
dc.language.isoen
dc.publisherUniversity of M'sila
dc.relation.ispartofseries2025
dc.titlePractical Work : Signal Processing
dc.typeLearning Object

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Polycopié_Signal processing 2025.pdf
Size:
2.33 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: