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A source coding scheme using sparse graphs: Modern Coding Theory Course Exam 2008

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Delay with network coding and feedback

Christina Fragouli, Lorenzo Keller

We consider the problem of minimizing delay when broadcasting over erasure channels with feedback. A sender wishes to communicate the same set of mu messages to several receivers over separate erasure channels. The sender can broadcast a single message or ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

Performance of Polar Codes for Channel and Source Coding

Rüdiger Urbanke, Satish Babu Korada, Nadine Hussami

Polar codes, introduced recently by Arikan, are the first family of codes known to achieve capacity of symmetric channels using a low complexity successive cancellation decoder. Although these codes, combined with successive cancellation, are optimal in th ...

2009

On Fidelity Per Unit Cost

Bixio Rimoldi, Marius Kleiner

We consider source coding with a ﬁdelity criterion, channel coding with a channel input constraint, and the combined problem of reproducing a source across a noisy channel. All three cases face a similar tradeoff between resource and performance, and the o ...

2009

Online Broadcasting with Network Coding

Christina Fragouli, Lorenzo Keller

Consider a source broadcasting M packets to N receivers over independent erasure channels, where perfect feedback is available from the receivers to the source, and the source is allowed to use coding. We investigate offline and online algorithms that opti ...

2008

Real-time Delay with Network Coding and Feedback

Christina Fragouli, Lorenzo Keller

We consider the problem of minimizing delay when broadcasting over erasure channels with feedback. A sender wishes to communicate the same set of m messages to several receivers. The sender can broadcast a single message or a combination (encoding) of mess ...

2008

Balanced multiple description coding in image communications

Ivana Radulovic

Latest developments in video coding technology on one side, and a continuous growth in size and bandwidth in lossy networks on the other side, have undoubtedly created a whole new world of multimedia communications. However, nowadays networks, which are be ...

EPFL2008

Successive refinement for hypothesis testing and lossless one-helper problem

Jun Chen

We investigate two closely related successive refinement (SR) coding problems: 1) In the hypothesis testing (HT) problem, bivariate hypothesis H-o : P-XY against H-1 : P-X P-Y, i.e., test against independence is considered. One remote sensor collects data ...

2008

The case for structured random codes in network communication theorems

Michael Christoph Gastpar

In the Shannon-theoretic analysis of joint source-channel coding problems, achievability is usually established via a two-stage approach: The sources are compressed into bits' and these bits are reliably communicated across the noisy channels. Random codin ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2007

Distributed coding of multiresolution omnidirectional images

Pascal Frossard, Ivana Tosic, Vijayaraghavan Thirumalai

This paper addresses the problem of compact representation of a 3D scene, captured by distributed omnidirectional cameras. As the images from the sensors are likely to be correlated in most practical scenarios, we build a distributed algorithm based on cod ...

2007

Multiuser Successive Refinement and Multiple Description Coding

Suhas Diggavi, Jun Chen

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. An achievable region is ...

2007