Publications related to Entropy (information theory)

HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data

Marc Parlange, Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

From algorithmic information theory, which connects the information content of a data set to the shortest computer program that can produce it, it is known that there are strong analogies between compression, knowledge, inference and prediction. The more w ...

MDPI AG2013

Function Identification in Neuron Populations via Information Bottleneck

Michael Christoph Gastpar, Sreenivas Kartik Buddha

It is plausible to hypothesize that the spiking responses of certain neurons represent functions of the spiking signals of other neurons. A natural ensuing question concerns how to use experimental data to infer what kind of a function is being computed. M ...

MDPI AG2013

Navigation domain representation for interactive multiview imaging

Pascal Frossard, Thomas Maugey

Enabling users to interactively navigate through different viewpoints of a static scene is a new interesting functionality in 3D streaming systems. While it opens exciting perspectives towards rich multimedia applications, it requires the design of novel r ...

Institute of Electrical and Electronics Engineers2013

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

Jean-Philippe Thiran, Devis Tuia, Frank Grégoire Jean de Morsier, Maurice Borgeaud, Tsirihasina Sitraka Ranoeliarivao

In this paper, we propose a strategy for fusing clustering maps obtained with different remote sensing sources. Dempster- Shafer (DS) Theory is a powerful fusion method that allows to combine classifications from different sources and handles ignorance, im ...

2013

Iterative Coding for Network Coding

Rüdiger Urbanke, Andrea Montanari

We consider communication over a noisy network under randomized linear network coding. Possible error mechanisms include node-or link-failures, Byzantine behavior of nodes, or an overestimate of the network min-cut. Building on the work of Kotter and Kschi ...

Ieee-Inst Electrical Electronics Engineers Inc2013

On the Achievable Rate of Stationary Rayleigh Flat-Fading Channels With Gaussian Inputs

In this work, a discrete-time stationary Rayleigh flat-fading channel with unknown channel state information at transmitter and receiver side is studied. The law of the channel is presumed to be known to the receiver. For independent identically distribute ...

Ieee-Inst Electrical Electronics Engineers Inc2013

Proof of the Outage Probability Conjecture for MISO Channels

Emre Telatar, Emmanuel Abbé

It is conjectured that the covariance matrices minimizing the outage probability under a power constraint for multiple-input multiple-output channels with Gaussian fading are diagonal with either zeros or constant values on the diagonal. In the multiple-in ...

Institute of Electrical and Electronics Engineers2013

The Fatigue Deterioration Potential of Railway Traffic

Eugen Brühwiler, Vasileios Grigoriou

In this paper, a method for predicting the evolution of fatigue deterioration of structural components using continuum mechanics numerical simulation is presented. At a first stage, prediction will be limited to the evaluation of the end of the initiation ...

2013

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Entropy (information theory)

Entropy and order in urban street networks

HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data

Function Identification in Neuron Populations via Information Bottleneck

Navigation domain representation for interactive multiview imaging

The Minimal Complexity of Adapting Agents Increases with Fitness

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

Iterative Coding for Network Coding

On the Achievable Rate of Stationary Rayleigh Flat-Fading Channels With Gaussian Inputs

Proof of the Outage Probability Conjecture for MISO Channels

The Fatigue Deterioration Potential of Railway Traffic

Graph Chatbot

Chat with Graph Search

Function Identification in Neuron Populations via Information Bottleneck

Iterative Coding for Network Coding

Navigation domain representation for interactive multiview imaging

HydroZIP: How Hydrological Knowledge can Be Used to Improve Compression of Hydrological Data

Proof of the Outage Probability Conjecture for MISO Channels

Multisource Clustering of Remote Sensing Images With Entropy-Based Dempster-Shafer Fusion

The Minimal Complexity of Adapting Agents Increases with Fitness

The Fatigue Deterioration Potential of Railway Traffic

On the Achievable Rate of Stationary Rayleigh Flat-Fading Channels With Gaussian Inputs

Entropy and order in urban street networks