Publications related to Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

Linear Compressive Networks

A linear compressive network (LCN) is defined as a graph of sensors in which each encoding sensor compresses incoming jointly Gaussian random signals and transmits (potentially) low-dimensional linear projections to neighbors over a noisy uncoded channel. ...

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

Quantum distillation: Dynamical generation of low-entropy states of strongly correlated fermions in an optical lattice

Salvatore Manmana

Correlations between particles can lead to subtle and sometimes counterintuitive phenomena. We analyze one such case, occurring during the sudden expansion of fermions in a lattice when the initial state has a strong admixture of double occupancies. We pro ...

2009

Quasisteady and steady states in global gyrokinetic particle-in-cell simulations

Laurent Villard, Alberto Bottino, Sébastien Jolliet, Ben McMillan, Paolo Angelino, Thibaut Vernay

Collisionless delta-f gyrokinetic particle-in-cell simulations suffer from the entropy paradox, in which the entropy grows linearly in time while low-order moments are saturated. As a consequence, these simulations do not reach a steady state and are unsui ...

American Institute of Physics2009

Quasi-steady and steady states in global gyrokinetic particle-in-cell simulations

Laurent Villard, Alberto Bottino, Sébastien Jolliet, Ben McMillan, Paolo Angelino, Thibaut Vernay

Collisionless delta-f gyrokinetic particle-in-cell simulations suffer from the entropy paradox, in which the entropy grows linearly in time while low-order moments are saturated. As a consequence, these simulations do not reach a steady state and are unsui ...

2009

Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network

Michael Christoph Gastpar

A single memoryless Gaussian source is observed by many terminals, subject to independent Gaussian observation noises. The terminals are linked to a fusion center via a standard Gaussian multiple-access channel. The fusion center needs to recover the under ...

2008

Uncoded transmission is exactly optimal for a simple Gaussian sensor network

Michael Christoph Gastpar

A single memoryless Gaussian source is observed by many terminals, subject to independent Gaussian observation noises. The terminals are linked to a fusion center via a standard Gaussian multiple-access channel. The fusion center needs to recover the under ...

Institute of Electrical and Electronics Engineers2008

On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function

Mehdi Molkaraie

Computing the partition function and the marginals of a global probability distribution are two important issues in any probabilistic inference problem. In a previous work, we presented sub-tree based upper and lower bounds on the partition function of a g ...

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

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Suhas Diggavi

We consider multiple description source coding problem with Gaussian source and mean squared error, for

K=3

descriptions. We obtain an outer bound for the rate region of the problem. We also derive an inner bound for the problem based on successively ref ...

2007

Hierarchical wavelet modelling of environmental sensor data

Anthony Christopher Davison, Yann Ruffieux

Motivated by the need to smooth and to summarize multiple simultaneous time series arising from networks of environmental monitors, we propose a hierarchical wavelet model for which estimation of hyperparameters can be performed by marginal maximum likelih ...

2007

The Wyner-Ziv Problem with Noisy Side-Information at the Encoder

Etienne Perron

In the problem of lossy source coding with side-information, it is well known (Wyner and Ziv 1976) that knowledge of the side-information at the encoder improves the rate-distortion trade-off for binary sources and the Hamming distortion measure. We consid ...

2006

Remote Source Coding Under Gaussian Noise: Dueling Roles of Power and Entropy Power

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Linear Compressive Networks

Quantum distillation: Dynamical generation of low-entropy states of strongly correlated fermions in an optical lattice

Quasisteady and steady states in global gyrokinetic particle-in-cell simulations

Quasi-steady and steady states in global gyrokinetic particle-in-cell simulations

Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network

Uncoded transmission is exactly optimal for a simple Gaussian sensor network

On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

Hierarchical wavelet modelling of environmental sensor data

The Wyner-Ziv Problem with Noisy Side-Information at the Encoder

Linear Compressive Networks

Quantum distillation: Dynamical generation of low-entropy states of strongly correlated fermions in an optical lattice

Quasisteady and steady states in global gyrokinetic particle-in-cell simulations

Uncoded Transmission Is Exactly Optimal for a Simple Gaussian "Sensor" Network

Uncoded transmission is exactly optimal for a simple Gaussian sensor network

Hierarchical wavelet modelling of environmental sensor data

Asymmetric Gaussian Multiple Descriptions and Asymmetric Multilevel Diversity Coding

The Wyner-Ziv Problem with Noisy Side-Information at the Encoder

Quasi-steady and steady states in global gyrokinetic particle-in-cell simulations

On Properties of the Minimum Entropy Sub-tree to Compute Lower Bounds on the Partition Function