Publications related to Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

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

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

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

Optimal filtering of incremental first-order sigma-delta modulators with sweep input

Maher Kayal, Sylvain Maréchal, François Krummenacher

In this paper, an optimal filter design procedure is described, from the equation representing the behaviour of a ΣΔ modulator to a functional algorithm. The first section shows the design of an optimal filter for a first-order ΣΔ ADC with a constant input ...

2011

Optimal filtering of an incremental second-order MASH11 sigma-delta modulator

Maher Kayal, Sylvain Maréchal, François Krummenacher

This paper describes an optimal filter design procedure for a cascaded sigma-delta modulator, starting with a block schematic of a second-order topology and deriving step by step the optimal decoder. The presented filter enhances the resolution of the MASH ...

IEEE2011

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

Sensing and Recovery under Sparsity Constraints

Ali Hormati

Popular transforms, like the discrete cosine transform or the wavelet transform, owe their success to the fact that they promote sparsity. These transforms are capable of extracting the structure of a large class of signals and representing them by a few t ...

EPFL2010

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 Sensing of Signals under a Sparse Filtering Model

Martin Vetterli, Olivier Roy, Yue Lu, Ali Hormati

We consider the task of recovering correlated vectors at a central decoder based on fixed linear measurements obtained by distributed sensors. Two different scenarios are considered: In the case of universal reconstruction, we look for a sensing and recove ...

2009

Nonlinear sampling technique for microwave devices

Michael Mattes

This communication addresses the problem of any simulation tool: the accurate and efficient sampling of a physical observable with respect to a parameter. A popular sampling technique is the uniform sampling combined with a straight-line interpolation for ...

2009

Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

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Resolution-Invariant Separable ARMA Modeling of Images

Frequency domain compensation of spurious sidebands in A/D circuits

Sampling Trajectories for Mobile Sensing

Optimal filtering of incremental first-order sigma-delta modulators with sweep input

Optimal filtering of an incremental second-order MASH11 sigma-delta modulator

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

Sensing and Recovery under Sparsity Constraints

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

Distributed Sensing of Signals under a Sparse Filtering Model

Nonlinear sampling technique for microwave devices

Sensing and Recovery under Sparsity Constraints

Frequency domain compensation of spurious sidebands in A/D circuits

Resolution-Invariant Separable ARMA Modeling of Images

Sampling Trajectories for Mobile Sensing

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

Optimal filtering of incremental first-order sigma-delta modulators with sweep input

Optimal filtering of an incremental second-order MASH11 sigma-delta modulator

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

Distributed Sensing of Signals under a Sparse Filtering Model

Nonlinear sampling technique for microwave devices