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A meshless method to simulate interactions between large soft tissue and a surgical grasper

Related publications (67)

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Recursive Implementation of the Distributed Karhunen-Loeve Transform

Michael Christoph Gastpar

In the distributed linear source coding problem, a set of distributed sensors observe subsets of a data vector with noise, and provide the fusion center linearly encoded data. The goal is to determine the encoding matrix of each sensor such that the fusion ...

2010

Randomized incremental protocols over adaptive networks

Ali H. Sayed

We introduce an incremental cooperation mode into the framework of adaptive networks (AN). The method applies to generic topologies and avoids the need to establish a Hamiltonian cycle over the network, generalizing the original incremental mode, while kee ...

IEEE2010

Aggregation-mediated Collective Perception and Action in a Group of Miniature Robots

Alcherio Martinoli, William Christopher Evans, Grégory Mermoud

We introduce a novel case study in which a group of miniaturized robots screen an environment for undesirable cells, and destroy them. Because miniaturized robots are usually endowed with reactive controllers and minimalist sensing and actuation capabiliti ...

2010

Distributed Karhunen-Loeve Transform With Nested Subspaces

Michael Christoph Gastpar, Naveen Goela

A network in which sensors observe a common Gaussian source is analyzed. Using a fixed linear transform, each sensor compresses its high-dimensional observation into a low-dimensional representation. The latter is provided to a central decoder that reconst ...

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

SURE-Based Non-Local Means

Dimitri Nestor Alice Van De Ville, Michel Kocher

Non-local means (NLM) provides a powerful framework for denoising. However, there are a few parameters of the algorithm-most notably, the width of the smoothing kernel-that are data-dependent and difficult to tune. Here, we propose to use Stein's unbiased ...

Institute of Electrical and Electronics Engineers2009

Predicting User-Cell Association in Cellular Networks from Tracked Data

Jean-Yves Le Boudec

We consider the problem of predicting user location in the form of user-cell association in a cellular wireless network. This is motivated by resource optimization, for example switching base transceiver stations on or off to save on network energy consump ...

Springer Verlag2009

Power Allocation for Beamforming Relay Networks under Channel Uncertainties

Ali H. Sayed

Under uncertain channel conditions, local and global power control factors for amplify-and-forward relay processing and source-destination beamforming are jointly and iteratively designed based on a minimum mean-square-error (MMSE) criterion. The influence ...

IEEE2009

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

A new technique for high-resolution frequency domain optical coherence tomography

Michaël Unser, Thierry Blu

Frequency domain optical coherence tomography (FDOCT) is a new technique that is well-suited for fast imaging of biological specimens, as well as non-biological objects. The measurements are in the frequency domain, and the objective is to retrieve an arti ...

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

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