Distributed Source Coding

CHAPTER 3

Quantization for Distributed Source Coding

David Rebollo-Monedero, Department of Telematics Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain

Bernd Girod, Department of Electrical Engineering, Stanford University, Palo Alto, CA

CHAPTER CONTENTS

Introduction

Formulation of the Problem

Conventions

Network Distributed Source Coding

Cost, Distortion, and Rate Measures

Optimal Quantizers and Reconstruction Functions

Example: Quantization of Side Information

Optimal Quantizer Design

Optimality Conditions

Lloyd Algorithm for Distributed Quantization

Experimental Results

High-rate Distributed Quantization

High-rate WZ Quantization of Clean Sources

High-rate WZ Quantization of Noisy Sources

High-rate Network Distributed ...