Publications related to Sampling signals with finite rate of innovation

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

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

A novel sampling theorem on the sphere

Yves Wiaux, Jason Douglas McEwen

We develop a novel sampling theorem on the sphere and corresponding fast algorithms by associating the sphere with the torus through a periodic extension. The fundamental property of any sampling theorem is the number of samples required to represent a ban ...

Institute of Electrical and Electronics Engineers2011

Frequency domain compensation of spurious sidebands in A/D circuits

Ali H. Sayed

In a non-ideal PLL circuit, leakage of the reference signal into the control line produces spurious tones. When the distorted PLL signal is used as a clock signal, it creates spurious tones in the sampled data. Our prior work used a training signal to esti ...

IEEE2011

Implications for compressed sensing of a new sampling theorem on the sphere

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

A sampling theorem on the sphere has been developed recently, requiring half as many samples as alternative equiangular sampling theorems on the sphere. A reduction by a factor of two in the number of samples required to represent a band-limited signal on ...

2011

Maximum-Likelihood Identification of Sampled Gaussian Processes

Michaël Unser, Hagay Kirshner, Simona Maggio

This work considers sampled data of continuous-domain Gaussian processes. We derive a maximum-likelihood estimator for identifying autoregressive moving average parameters while incorporating the sampling process into the problem formulation. The proposed ...

SampTA2011

Distributed audio coding for wireless hearing aids

Martin Vetterli, Olivier Roy

The aim of the invention is to provide inter-channel level differences ICLD related to audio signals for hearing aids. This aim is achieved by a method for computing ICLD from a first and second audio source signals, the first source signal being wired wit ...

2011

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Michele Ceriotti

Multiple time scale molecular dynamics enhances computational efficiency by updating slow motions less frequently than fast motions. However, in practice, the largest outer time step possible is limited not by the physical forces but by resonances between ...

American Institute of Physics2011

Sampling theorems and compressive sensing on the sphere

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

We discuss a novel sampling theorem on the sphere developed by McEwen & Wiaux recently through an association between the sphere and the torus. To represent a band-limited signal exactly, this new sampling theorem requires less than half the number of samp ...

Spie-Int Soc Optical Engineering, Po Box 10, Bellingham, Wa 98227-0010 Usa2011

Sampling signals with finite rate of innovation

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Sampling Trajectories for Mobile Sensing

Resolution-Invariant Separable Arma Modeling Of Images

Resolution-Invariant Separable ARMA Modeling of Images

A novel sampling theorem on the sphere

Frequency domain compensation of spurious sidebands in A/D circuits

Implications for compressed sensing of a new sampling theorem on the sphere

Maximum-Likelihood Identification of Sampled Gaussian Processes

Distributed audio coding for wireless hearing aids

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

Sampling theorems and compressive sensing on the sphere

Sampling Trajectories for Mobile Sensing

Resolution-Invariant Separable Arma Modeling Of Images

Maximum-Likelihood Identification of Sampled Gaussian Processes

Resolution-Invariant Separable ARMA Modeling of Images

Frequency domain compensation of spurious sidebands in A/D circuits

Distributed audio coding for wireless hearing aids

Implications for compressed sensing of a new sampling theorem on the sphere

Sampling theorems and compressive sensing on the sphere

Efficient multiple time scale molecular dynamics: Using colored noise thermostats to stabilize resonances

A novel sampling theorem on the sphere