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On the Role of Encoder Side-Information in Source Coding for Multiple Decoders

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Polar codes for channel and source coding

Satish Babu Korada

The two central topics of information theory are the compression and the transmission of data. Shannon, in his seminal work, formalized both these problems and determined their fundamental limits. Since then the main goal of coding theory has been to find ...

EPFL2009

Linear Universal Decoder for Compound Discrete Memoryless Channels

Rethnakaran Pulikkoonattu

Shannon in his seminal work \cite{paper:shannon} formalized the framework on the problem of digital communication of information and storage. He quantified the fundamental limits of compression and transmission rates. The quantity \textit{channel capacity} ...

2009

Source coding in sensor networks

Robert Konsbruck

Wireless sensor networks have emerged as versatile tools to monitor the evolution of physical fields over large areas by means of self-powered and low-cost sensing devices. Although their development was originally motivated by military applications, they ...

EPFL2009

Image Interpolation with Dense Disparity Estimation in Multiview Distributed Video Coding

Thomas Maugey

This paper deals with the side information (SI) generation problem in multiview distributed video coding (MDVC). For inter-view interpolation, we propose a novel dense disparity estimation (DE) approach combined with a popular distributed video coding (DVC ...

2009

Side-Information Scalable Source Coding

Suhas Diggavi

We consider the problem of side-information scalable (SI-scalable) source coding, where the encoder constructs a two-layer description, such that the receiver with high quality side information will be able to use only the first layer to reconstruct the so ...

Institute of Electrical and Electronics Engineers2008

Multiuser successive refinement and multiple description coding

Suhas Diggavi, Jun Chen

In this correspondence, we consider the multiuser successive refinement (MSR) problem, where the users are connected to a central server via links with different noiseless capacities, and each user wishes to reconstruct in a successive-refinement fashion. ...

2008

Lower Bounds on the Rate-Distortion Function of Individual LDGM Codes

Rüdiger Urbanke, Shrinivas Kudekar

We consider lossy compression of a binary symmetric source by means of a low-density generator-matrix code. We derive two lower bounds on the rate distortion function which are valid for any low-density generator-matrix code with a given node degree distri ...

2008

On the Heegard-Berger/Kaspi problem with decoder cooperation

Dinkar Vasudevan

We consider decoder cooperation in the Heegard-Berger/Kaspi problem. The encoder sends a common description of a source to two decoders, one of which has side information. Cooperation between the two decoders is of the form of a limited capacity link from ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2008

Successive refinement via broadcast: Optimizing expected distortion of a Gaussian source over a Gaussian fading channel

Suhas Diggavi

We consider the problem of transmitting a Gaussian source on a slowly fading Gaussian channel, subject to the mean-squared error distortion measure. The channel state information is known only at the receiver but not at the transmitter. The source is assum ...

2008

Analysis of Error Propagation Due to Frame Losses in a Distributed Video Coding System

Thomas Maugey

In this paper, we propose a theoretical model for the error propagation phenomenon generated by a frame loss in a distributed video coding framework. Using rate-distortion functions, we analyze the impact of a frame loss on the average distortion of a grou ...

2008