Distributed Source Coding

CHAPTER 5

Distributed Coding of Sparse Signals

Vivek K Goyal, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA

Alyson K. Fletcher, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA

Sundeep Rangan, Qualcomm Flarion Technologies, Bridgewater, NJ

CHAPTER CONTENTS

Introduction

Sparse Signals

Signal Recovery with Compressive Sampling

Compressive Sampling as Distributed Source Coding

Modeling Assumptions

Analyses

Numerical Simulation

Information Theory to the Rescue?

Conclusions—Whither Compressive Sampling?

Quantizer Performance and Quantization Error

Acknowledgments

References

5.1 INTRODUCTION

Recent results in compressive ...