Publications related to Analysis system and method for analysing the movement of a portion of the body and/or of a human prosthesis

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Michaël Unser, John Paul Ward, Hagay Kirshner

We consider the problem of sampling continuous-time auto-regressive processes on a uniform grid. We investigate whether a given sampled process originates from a single continuous-time model, and address this uniqueness problem by introducing an alternativ ...

IEEE2012

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

Ali H. Sayed

In a nonideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a sampling clock to an analog-to-digital converter (ADC), it creates spurious sidebands in the sampled data a ...

IEEE2012

Methods and apparatus for estimating a sparse channel

Martin Vetterli, Ali Hormati, Yann Barbotin

Embodiments include a method for sending a selected number of pilots (20) to a sparse channel having a channel impulse response limited in time comprising sending the selected number of the pilots (20). The pilots (20) are equally spaced in the frequency d ...

USPTO2011

Resolution-Invariant Separable Arma Modeling Of Images

Michaël Unser, Aurélien Bourquard, Hagay Kirshner

We suggest a continuous-domain stochastic modeling of images that is invariant to spatial resolution. Specifically, we are proposing an estimator that is calibrated with respect to the sampling step, and that can potentially handle aliased data. Motivated ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2011

Resolution-Invariant Separable ARMA Modeling of Images

Michaël Unser, Aurélien Bourquard, Hagay Kirshner

We suggest a continuous-domain stochastic modeling of images that is invariant to spatial resolution. Specifically, we are proposing an estimator that is calibrated with respect to the sampling step, and that can potentially handle aliased data. Motivated ...

IEEE2011

Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

Classical sampling theory for sampling and reconstructing bandlimited fields in

\Re^d

addresses the problem of sampling on lattice points. We consider a generalization of this problem, in which one samples the field along

1

-dimensional spatial trajecto ...

2011

Efficient Sampling for Accelerated Diffusion Magnetic Resonance Imaging

Diffusion magnetic resonance imaging (dMRI) is a non-invasive method that allows connectivity mapping of the brain. However, despite major advances in this field, accurate inference of these patterns and its applicability within a clinical context is still ...

2011

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?

Michaël Unser, Hagay Kirshner, Simona Maggio

We address the problem of identifying continuous-time auto regressive (CAR) models from sampled data. The exponential nature of CAR autocorrelation functions is taken into account by means of exponential B-splines modelling, allowing one to associate the a ...

EURASIP2010

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin to a Slepian-Wolf setup, but in the sampling rather than the lossless compres ...

2010

Metropolis-Hastings sampling of alternatives for route choice models

Michel Bierlaire, Gunnar Flötteröd

Sampling of alternatives has been shown to be an operational technique for the estimation of route choice models. In order to apply it, the sampling protocol generating paths must be such that the sampling probability is known, in order to correct for the ...

2010

Analysis system and method for analysing the movement of a portion of the body and/or of a human prosthesis

Graph Chatbot

Chat with Graph Search

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

Methods and apparatus for estimating a sparse channel

Resolution-Invariant Separable Arma Modeling Of Images

Resolution-Invariant Separable ARMA Modeling of Images

Sampling Trajectories for Mobile Sensing

Efficient Sampling for Accelerated Diffusion Magnetic Resonance Imaging

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

Metropolis-Hastings sampling of alternatives for route choice models

Methods and apparatus for estimating a sparse channel

Resolution-Invariant Separable Arma Modeling Of Images

Is Uniqueness Lost for Under-Sampled Continuous-Time Auto-Regressive Processes?

Distributed Sampling of Signals Linked by Sparse Filtering: Theory and Applications

An Algorithm to Compensate the Effects of Spurious PLL Tones in Spectrum Sensing Architectures

Efficient Sampling for Accelerated Diffusion Magnetic Resonance Imaging

Resolution-Invariant Separable ARMA Modeling of Images

Sampling Trajectories for Mobile Sensing

Metropolis-Hastings sampling of alternatives for route choice models

Continuous-Time AR Model Identification: Does Sampling Rate Really Matter?