Signal Processing + Wireless Communications

General Data
Academic program	ECAM LaSalle Mechanical and Electrical Engineering Programme			Module Manager(s) : GIBERT Guillaume
EC Type : Lectures	Signal Processing + Wireless Communications (LIIEEng06ESigProcess)
Tutorials : 12h00 Lab Work : 8h00 Lectures : 12h00 Individual work : 24h00 Total duration: 32	Status	Period Semester 6	Teaching language : English

General objectives
By the end of this course, students will be able to: 1. Acquire the fundamentals features of signal 2. Perform a spectral analysis of a signal 3. Estimate the filter coefficients from filtering specifications 4. Analyze the stability of filters 5. Analyze random signals with temporal and spectral methods 6. Apply and analyse time-frequency to any signal 7. Learn image processing techniques and apply them 8. Develop good programming practices (documentation, test, git/gitflow)

General objectives

By the end of this course, students will be able to:
1. Acquire the fundamentals features of signal
2. Perform a spectral analysis of a signal
3. Estimate the filter coefficients from filtering specifications
4. Analyze the stability of filters
5. Analyze random signals with temporal and spectral methods
6. Apply and analyse time-frequency to any signal
7. Learn image processing techniques and apply them
8. Develop good programming practices (documentation, test, git/gitflow)

Content
-Signals: general properties and transformations (convolution…) -Spectral analysis (DFT, FFT…) -Sampling -Signals and systems (stability, causality…) -Filters (FIR, IIR) -Random signals (autocorrelation, intercorrelation…) -Time-frequency analysis -Image processing

Corequis
-Mathematics for engineers 1 -Mathematics for engineers 2 -Mathematics for engineers 3 -Mathematics for engineers 4 -Mathematics for engineers 5 -Metrology -Computer programming -Object-oriented programming -Simulation and numerical calculation 1 -Simulation and numerical calculation 2 -Electronics 1 – Components and technology -Electronics 2 – Functions and applications -Digital design and embedded software 1 -Digital design and embedded software 2

Corequis

-Mathematics for engineers 1
-Mathematics for engineers 2
-Mathematics for engineers 3
-Mathematics for engineers 4
-Mathematics for engineers 5
-Metrology
-Computer programming
-Object-oriented programming
-Simulation and numerical calculation 1
-Simulation and numerical calculation 2
-Electronics 1 – Components and technology
-Electronics 2 – Functions and applications
-Digital design and embedded software 1
-Digital design and embedded software 2

Bibliographie
Essential resources: None Recommended resources: Digital Processing of Signals: Theory and Practice, 3rd Edition

Assessment(s)
N°	Nature	Coefficient	Observable objectives
1	1, 2, 3, 4, 5, 6, 7	0,3	Observable objectives: mid-term exam in which students will be evaluated on their ability to analyze unknow signals and systems by applying temporal or spectral techniques.
2	1, 2, 3, 4, 5, 6, 7, 8	0,3	Observable objectives: labs in which students will be evaluated on their ability to define and implement signal/image processing techniques to analyze unknown signals using good coding practices.
3	Written exam	0,4	Observable objectives: final exam in which students will be evaluated on their ability to analyze unknow signals, images and systems by applying temporal or spectral techniques.