UV1 MAJ MTS: Bases in signal and information processing - Fall 2016/2017


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 IG 1A Automne
IG 2A Automne
IG 3A Automne
MSC 2A TEE Automne
EDOMTSMA1
  Presentation
 
The spreading of a considerable amount of information is one of the most important needs of human beings. It is made technically possible by signal processing. Either by digital signal (binary sequences) or analogical signal (physical signal). Digital signal processing provides the basis of digital image processing, image/video coding, digital communication, detection and estimation theory, stochastic process, spectral analysis, audio/speech signal processing etc…
In this UV, we study the packaging and the transmission of information as well as several basic signal processing. The signal processing techniques in this UV are an extension of the mathematical tools learned in high school and at Télécom-Bretagne in S1 (semester 1).
MTS 301 “Digital signals” studies the representation, analysis, and design of discrete-time signals and systems. Topics include a review of the z-transform and the discrete Fourier transform, digital filter structures, digital filter design techniques, analog-to-digital and digital-to-analog data conversion, rate conversion, sampling and aliasing issues.
MTS 302 “Stochastic processes” and MTS 303 “Statistical signal processing” are two of the fundamental courses especially for students in the area of signal processing and communication. Topics include fundamentals and applications of probability and random variables, random vectors, characteristic functions, random processes, expectations, correlation functions, power spectrum and estimation.
In MTS304 “Speech and images”, the student will be confronted with application and implementation issues through speech and image examples: signal digitalization, source coding and estimation.
 
Access conditions  : Basic knowledge of probability, signal theory, filtering, harmonic analysis and distributions
 
Goals :
  • To use basic statistic estimation methods
  • To apply methods studied in speech and image processing
  • To explain the interest of the second-order statistic and to apply it
  • To analyze an analogical or digital signal in time and frequency domains
  • To analyze and to synthesize digital filters
  • To know the usual process (Gauss, Poisson, Markov)
  • To know and to apply match and Wiener filtering
Location  : BREST
Coordinator  : Ronan FABLET
Credits IG 1A  : 8
Credits IG 2A  : 8
Credits IG 3A  : 8
Credits MSC 2A TEE  : 8
Dernière màj le 04-MAY-16 par CURSUS
  Modules
 
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Coordinator		 Co-resp. Etat
State		 Date màj
Last update
MTS 301 A Digital signals L.Lecornu C.Hamitouche Validée 01-09-16
MTS 302 A Stochastic processes J.Le Caillec   Validée 08-02-16
MTS 303 A Statistical signal processing J.Le Caillec L.Lecornu Validée 08-02-16
MTS 304 A Speech and images C.Hamitouche S.Saoudi Validée 08-02-16

IMT Atlantique
Campus de Brest
Technopôle Brest-Iroise
CS 83818
29238 Brest Cedex 3
France

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