Source Coding

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    In brief

  • Number of hours : 3 CM de 1h45 + 2 TD de 1h45
  • Teaching method : En présence
  • Code : N7EN03C

Objectives

Understand what is source coding: lossless or lossy coding methods: lossless linked to information theory and lossy methods based on signal processing, with the 2 big families, predictive coding and transform coding.

Description

I. Introduction

II. Lossless coding : basis (information theory in short), Huffman coding, based-dictionary methods, arithmetic coding

III. Lossy coding: the importance of scalar quantization

IV. Lossy coding: predictive coding

V. Lossy coding: transform coding

Targeted skills

Be able to ask the good questions for source coding: with or without distorsion? And with distorsion, which family of methods?

Needed prerequisite

Probabilities. Matrix computation

Session 1 ou session unique - Contrôle des connaissances

ModalitéNatureCoefficientRemarques
CC (contrôle continu) Oral/Ecrit100%Examen Codage Source

Session 2 - Contrôle des connaissances

ModalitéNatureCoefficientRemarques
CC (contrôle continu) Oral/Ecrit100%Examen Codage Source

Contact(s)

MAILHES Corinne

Phone : 2237

Email : Corinne.Mailhes @ enseeiht.fr

MAILHES CORINNE

Places

  • Toulouse

Contact

The National Institute of Electrical engineering, Electronics, Computer science,Fluid mechanics & Telecommunications and Networks

2, rue Charles Camichel - BP 7122
31071 Toulouse Cedex 7, France

+33 (0)5 34 32 20 00

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