Study programmeFrançais
Applied Signal Processing
Programme component of Master's Degree in Electrical Engineering Professional Focus in Multimedia and Telecommunications à la Faculty of Engineering
CodeTypeHead of UE Department’s
contact details
Teacher(s)
UI-M2-IRELMP-702-MCompulsory UEDUTOIT ThierryF105 - Théorie des circuits et Traitement du signal
  • DUTOIT Thierry
  • HANCQ Joel

Language
of instruction
Language
of assessment
HT(*) HTPE(*) HTPS(*) HR(*) HD(*) CreditsWeighting Term
  • Anglais
Anglais21140003.003.00

AA CodeTeaching Activity (AA) HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term Weighting
I-TCTS-004Applied Signal Processing2114000Q1100.00%
Unité d'enseignement

Objectives of Programme's Learning Outcomes

  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Respect deadlines and timescales
  • Mobilise a structured set of scientific knowledge and skills and specialised techniques in order to carry out electrical engineering missions, with a focus on Multimedia and Telecommunications, using their expertise and adaptability.
    • Master and appropriately mobilise knowledge, models, methods and techniques related to the basics of electricity, electronics, automatic control, signal processing and analysis, telecommunications, advanced electronics and advanced microelectronics, computer science, wired and wireless telecommunications, signal processing, and human-machine interfaces.
    • Identify and discuss possible applications of new and emerging technologies in the field of electrical engineering.
  • Plan, manage and lead projects in view of their objectives, resources and constraints, ensuring the quality of activities and deliverables.
    • Respect deadlines and timescales

Learning Outcomes of UE

apply signal processing concepts for the design of systems in MATLAB and on a DSP (Texas Instruments family): speech processing in a cell phone, mp3 coder/decoder, audio watermarking;extend this approach to more advanced concepts such as adaptive filtering and Bayesian methods.

Content of UE

Part I : Linear prediction of speech, CELP coding; sub-band coding of audio signals; audio watermarking; Part II : Bayesian methods for signal processing: methods for classification, graphical models ; temporal models; probabilistic graphical models for decision making and control;Labs : Introduction to digital signal processors.

Prior Experience

Signal Processing

Type of Assessment for UE in Q1

  • Presentation and works
  • Oral examination

Q1 UE Assessment Comments

Final exam 3hours 70%
Oral presentation of the content of a journal paper 30%

Q2 UE Assessment Comments

Not applicable

Type of Assessment for UE in Q3

  • Oral examination

Q3 UE Assessment Comments

Final exam 3hours 70%
Oral presentation of the content of a journal paper 30%

Q1 UE Resit Assessment Comments (BAB1)

Not applicable

Type of Teaching Activity/Activities

AAType of Teaching Activity/Activities
I-TCTS-004
  • Cours magistraux
  • Ateliers et projets encadrés au sein de l'établissement

Mode of delivery

AAMode of delivery
I-TCTS-004
  • Face to face

Required Reading

AARequired Reading
I-TCTS-004

Required Learning Resources/Tools

AARequired Learning Resources/Tools
I-TCTS-004Not applicable

Recommended Reading

AARecommended Reading
I-TCTS-004

Recommended Learning Resources/Tools

AARecommended Learning Resources/Tools
I-TCTS-004Not applicable

Other Recommended Reading

AAOther Recommended Reading
I-TCTS-004Applied Signal Processing, A MATLAB-based proof of concept, T. DUTOIT, F. MARQUES, Springer, 2009Real-Time Digital Signal Processing based on the TMS320C6000, N. KEHTARNAVAZ, Elsevier, 2004

Grade Deferrals of AAs from one year to the next

AAGrade Deferrals of AAs from one year to the next
I-TCTS-004Autorisé
Date de génération : 17/03/2017
20, place du Parc, B7000 Mons - Belgique
Tél: +32 (0)65 373111
Courriel: info.mons@umons.ac.be