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Signal and Image Processing (CORO SIP)

Home Máster Máster de Ingeniería Máster de Otras ingenierías Signal and Image Processing (CORO SIP)

Signal and Image Processing (CORO SIP)

Ecole Centrale de Nantes

Máster presencial

Nantes (Francia)


Precio a consultar

Duración : 2 Años




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Sedes

Localización

Fecha inicio

Nantes

Objetivos

The main objectives are: to establish a relevant statistical model for data representation and analysis, to propose a methodological solution and its numerical implementation suited to the application context and to acquire a solid background on real-life applications of signal and image processing in research and innovation

Requisitos

Students must have: a bachelor's degree in Engineering, Science or Technology, or a 'license' qualification or equivalent. Applicants must have a good level in Mathematics and be fluent in English - written and spoken. An applicant whose native language is not English is required to pass a recognised international test of English (TEOFL, IELTS, TOEIC or Cambridge Advanced English Test). Applicants who carried out their studies in English may provide an official letter from their university stating that the language of instruction was English in place of one of the approved English tests.

Temario completo de este curso

Course Content - M1
30 ECTS Credits per semester.
Autumn Semester Courses
  • Signal Processing
  • Classical Linear Control
  • Artificial Intelligence
  • Embedded Electronics
  • Systems Identification and Signal Filtering
  • Embedded Computing
  • Modern Languages *
Spring Semester Courses
  • Group Project
  • Optimization Techniques
  • Mobile Robots
  • Programming Real Time Systems
  • Computer Vision
  • Spectral and Time Frequency Analysis
  • Modern Languages *

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
NB Course content may be subject to minor changes
Course Content - M2
30 ECTS Credits per semester
Autumn Semester Courses
  • Statistical signal processing and estimation theory
  • Digital signal and image representations
  • Machine learning, data analysis and information retrieval
  • Signal and image restoration, inversion methods
  • Mathematical tools for signal and image processing
  • Biomedical signals, images and methods
  • Modern Languages *
  • Project
  • Conferences

* 'French as Foreign Language' except for French native speakers who will study 'Cultural and Communicational English'
Spring Semester
Master Thesis/Internship
Examples of previous internships in Medicine:
  • Analysis of Electromyographic signals for neuromuscular disease characterization
  • Reconstruction of Positron Emission Tomography images in the context of low statistics
  • Resolution enhancement in Magnetic Resonance Imaging for cardiovascular diagnosis

Examples of previous internships in industry:
  • Optimization of a tyre pressure monitoring system in an automotive vehicle
  • Fast imaging algorithm for structured illumination microscopy

Examples of previous internships in research labs:
  • Numerical optimization for sparse ultrasound signal recovery
  • Analysis and classification of environmental sounds using deep learning methods

NB Course content may be subject to minor changes
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