Publications related to Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm

Detecting the Origin of Text Segments Efficiently

In the origin detection problem an algorithm is given a set S of documents, ordered by creation time, and a query document D. It needs to output for every consecutive sequence of k alphanumeric terms in D the earliest document in S in which the sequence ap ...

ACM2009

A Statistical Analysis of Certain Iterative Learning Control Algorithms

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

Iterative Learning Control (ILC) is a technique used to improve the tracking performance of systems carrying out repetitive tasks, which are affected by deterministic disturbances. The achievable performance is greatly degraded, however, when non-repeating ...

2008

Efficient Broadcasting Using Network Coding

Jean-Yves Le Boudec, Christina Fragouli, Jörg Widmer

We consider the problem of broadcasting in an ad-hoc wireless network, where all nodes of the network are sources that want to transmit information to all other nodes. Our figure of merit is energy efficiency, a critical design parameter for wireless netwo ...

2008

Spectrum Sharing Games of Network Operators and Cognitive Radios

Jean-Pierre Hubaux, Mark Felegyhazi, Julien Freudiger, Peter Marbach

Since the beginning of the 20th century, the wireless frequency spectrum has been carefully controlled by government regulators. In response to the recent advances in radio technology, the spectrum regulators have opened some parts of the available spectru ...

Springer2007

$ H _{ 2 } $ O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Dimitri Nestor Alice Van De Ville

In this work, we propose a new grid conversion algorithm between the hexagonal lattice and the orthogonal (a.k.a. Cartesian) lattice. The conversion process, named

H _{ 2 }

O, is easy to implement and is perfectly reversible using the same algorithm to ...

IEEE2007

Optimal maneuvering of seismic sensors for localization of subsurface targets

Volkan Cevher

We consider the problem of detecting and locating buried land mines and subsurface objects by using a maneuvering array that receives scattered seismic surface waves. We demonstrate an adaptive system that moves an array of receivers according to an optima ...

Institute of Electrical and Electronics Engineers2007

Cellular Operators in a Shared Spectrum

Sivan Altinakar

Due to the increasing number of radio technologies, the available frequency spectrum becomes more and more utilized, hence its clever use becomes a critical issue. Among many proposed solutions, the formulation of the problem as the control of the power of ...

2006

A Comparison of Iterative Learning Control Algorithms with application to a Linear Motor System

Alireza Karimi, Roland Longchamp, Mark Edward John Butcher

Iterative Learning Control (ILC) is a technique used to improve the tracking performance of systems carrying out repetitive tasks, which are affected by deterministic disturbances. The achievable performance is greatly degraded, however, when non-repeating ...

2006

An inverse kinematics architecture enforcing an arbitrary number of strict priority levels

Ronan Boulic

An efficient inverse kinematics solver is a key element in applications targeting the on-line or off-line postural control of complex articulated figures. In the present paper we progressively describe the strategic components of a very general and robust ...

Springer Verlag2004

Non-Linear Fresnelet Approximation for Interference Term Suppression in Digital Holography

Michaël Unser, Thierry Blu

We present a zero-order and twin image elimination algorithm for digital Fresnel holograms that were acquired in an off-axis geometry. These interference terms arise when the digital hologram is reconstructed and corrupt the result. Our algorithm is based ...

SPIE2003

Sensor Network Localization from Local Connectivity : Performance Analysis for the MDS-MAP Algorithm

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Detecting the Origin of Text Segments Efficiently

A Statistical Analysis of Certain Iterative Learning Control Algorithms

Efficient Broadcasting Using Network Coding

Spectrum Sharing Games of Network Operators and Cognitive Radios

$ H _{ 2 } $ O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Optimal maneuvering of seismic sensors for localization of subsurface targets

Cellular Operators in a Shared Spectrum

A Comparison of Iterative Learning Control Algorithms with application to a Linear Motor System

An inverse kinematics architecture enforcing an arbitrary number of strict priority levels

Non-Linear Fresnelet Approximation for Interference Term Suppression in Digital Holography

$ H _{ 2 } $ O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering

Optimal maneuvering of seismic sensors for localization of subsurface targets

An inverse kinematics architecture enforcing an arbitrary number of strict priority levels

Detecting the Origin of Text Segments Efficiently

Efficient Broadcasting Using Network Coding

Non-Linear Fresnelet Approximation for Interference Term Suppression in Digital Holography

A Statistical Analysis of Certain Iterative Learning Control Algorithms

Spectrum Sharing Games of Network Operators and Cognitive Radios

Cellular Operators in a Shared Spectrum

A Comparison of Iterative Learning Control Algorithms with application to a Linear Motor System