Publication

Shannon Bounds on Lossy Gray-Wyner Networks

Publications associées (33)

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Gaussian approximations for energy-based detection and localization in sensor networks

Volkan Cevher

Energy-based detection and estimation are crucial in sensor networks for sensor localization, target tracking, etc. In this paper, we present novel Gaussian approximations that are applicable to general energy-based source detection and localization proble ...

2007

Temporal Masking for Bit-rate Reduction in Audio Codec Based on Frequency Domain Linear Prediction

Petr Motlicek, Hynek Hermansky, Sriram Ganapathy

Audio coding based on Frequency Domain Linear Prediction (FDLP) uses auto-regressive model to approximate Hilbert envelopes in frequency sub-bands for relatively long temporal segments. Although the basic technique achieves good quality of the reconstructe ...

IDIAP2007

Separation theorems and partial orderings for sensor network problems

Michael Christoph Gastpar

In the absence of complexity and delay constraints, the quality of a noisy communication channel can be characterized by a single number, called its capacity and usually measured in bits. Shannon [1] showed that this number is universal in the sense that v ...

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

Randomization bounds on Gaussian arbitrarily varying channels

Michael Christoph Gastpar

The random coding capacity of the Gaussian arbitrarily varying channel (GAVC) under a maximal probability of error criterion is equal to that of an additive white Gaussian noise (AWGN) channel with the interference power as additional noise. The determinis ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2006

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

Emre Telatar, Suhas Diggavi, Etienne Perron

We consider a lossy source coding problem where the description of a source is going to be used by two decoders, each having access to information correlated with the source. This side-information is also present at the encoder. We give inner and outer bou ...

2006

The Kaspi Rate-Distortion Problem with Encoder Side-Information: Gaussian Case

Emre Telatar, Suhas Diggavi, Etienne Perron

We consider the problem of compressing a Gaussian source for two decoders, one of which has access to side-information. Kaspi has solved this problem for discrete memoryless sources for the two cases with and without encoder side-information. We focus on t ...

2005

Fading observation alignment via feedback

Michael Christoph Gastpar

In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication constraints, this uncertainty may result in poor end-to-end distortion. If the sensors hav ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2005

Fast Index Assignment for balanced N-Description Scalar Quantization

Pascal Frossard, Ivana Radulovic

In this paper, we address the design of any number of balanced descriptions using multiple description scalar quantization (MDSQ), based on fast index assignment. The proposed scheme has the advantages of low complexity, and the possibility of being extend ...

2005

Oligoquantization in low-rate lossy source coding

The theory of high rate lossy source coding is well developed both with respect to the practice of quantization and its fundamental rate distortion limits. But many modern compression systems for natural signals such as audio and images operate at lower ra ...

EPFL2002

2-D sensor position perturbation analysis: Equivalence to AWGN on array outputs

Volkan Cevher

In this paper, the performance of a subspace beamformer, namely the multiple signal classification algorithm (MUSIC), is scrutinized in the presence of sensor position errors. Based on a perturbation model, a relationship between the array autocorrelation ...

2002