Publications related to Sampling signals with finite rate of innovation: the noisy case

Weak lensing galaxy cluster field reconstruction

Jean-Paul Richard Kneib, Mathilde Jauzac

In this paper, we compare three methods to reconstruct galaxy cluster density fields with weak lensing data. The first method called FLens integrates an inpainting concept to invert the shear field with possible gaps, and a multi-scale entropy denoising pr ...

Wiley-Blackwell2014

DNA Trans location through Low-Noise Glass Nanopores

Aleksandra Radenovic, Lorenz Jan Steinbock, Roman Bulushev, Camille Alice Raillon, Swati Krishnan

The effect of electron irradiation-induced shrinking on glass nanocapillaries with diameters ranging from 75 to 14 nm was analyzed by measuring the conductance characteristics with and without DNA translocation. We have investigated nanocapillary shrinking ...

American Chemical Society2013

Recursive Compressed Sensing

Martin Vetterli, Nikolaos Freris, Orhan Öçal

We introduce a recursive algorithm for performing compressed sensing on streaming data. The approach consists of a) recursive encoding, where we sample the input stream via overlapping windowing and make use of the previous measurement in obtaining the nex ...

Submitted to IEEE Transactions on Information Theory2013

Linear Bayesian Reinforcement Learning

Christos Dimitrakakis, Nikolaos Tziortziotis

This paper proposes a simple linear Bayesian approach to reinforcement learning. We show that with an appropriate basis, a Bayesian linear Gaussian model is sufficient for accurately estimating the system dynamics, and in particular when we allow for corre ...

2013

Single trial analysis of slow cortical potentials: A study on anticipation related potentials

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Gangadhar Garipelli

Objective. Abundant literature suggests the use of Slow Cortical Potentials (SCPs) in a wide spectrum of basic and applied neuroscience areas. Due to low signal to noise ratio, often these potentials are studied using grand-average analysis, which conceal ...

Institute of Physics2013

Compressed Optical Imaging

Aurélien Bourquard

We address the resolution of inverse problems where visual data must be recovered from incomplete information optically acquired in the spatial domain. The optical acquisition models that are involved share a common mathematical structure consisting of a l ...

EPFL2013

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Martin Vetterli, Jayakrishnan Unnikrishnan

Consider the task of sampling and reconstructing a bandlimited spatial field in

\Re^2

using moving sensors that take measurements along their path. It is inexpensive to increase the sampling rate along the paths of the sensors but more expensive to incre ...

Institute of Electrical and Electronics Engineers2013

Sampling and Reconstruction of Spatial Fields using Mobile Sensors

Martin Vetterli, Jayakrishnan Unnikrishnan

Spatial sampling is traditionally studied in a static setting where static sensors scattered around space take measurements of the spatial field at their locations. In this paper we study the emerging paradigm of sampling and reconstructing spatial fields ...

Institute of Electrical and Electronics Engineers2013

Mitigation of clipping in sensors

Ali H. Sayed

One major source of nonlinear distortion in analog-to-digital converters (ADCs) is clipping. The problem introduces spurious noise across the bandwidth of the sampled data. Prior works recover the signal from the acquired samples by relying on oversampling ...

IEEE2013

Optical Nyquist-pulse generation with a power difference to the ideal sinc-shape sequence of < 1%

Luc Thévenaz, Marcelo Alfonso Soto Hernandez, Mohammad Amin Shoaie, Mohammad Mehdi Alem Karladani

Sinc-shaped Nyquist-pulses possess a rectangular spectrum. Thus, a sinc-pulse transmission minimizes the carrier spacing down to the baud rate, and therefore, substantially increases the transmissible data rates. These perspectives have led to a strong res ...

VDE Verlag GmbH2013

Sampling signals with finite rate of innovation: the noisy case

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Weak lensing galaxy cluster field reconstruction

DNA Trans location through Low-Noise Glass Nanopores

Recursive Compressed Sensing

Linear Bayesian Reinforcement Learning

Single trial analysis of slow cortical potentials: A study on anticipation related potentials

Compressed Optical Imaging

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Sampling and Reconstruction of Spatial Fields using Mobile Sensors

Mitigation of clipping in sensors

Optical Nyquist-pulse generation with a power difference to the ideal sinc-shape sequence of < 1%

Weak lensing galaxy cluster field reconstruction

Recursive Compressed Sensing

Linear Bayesian Reinforcement Learning

Sampling High-Dimensional Bandlimited Fields on Low-Dimensional Manifolds

Single trial analysis of slow cortical potentials: A study on anticipation related potentials

Compressed Optical Imaging

Sampling and Reconstruction of Spatial Fields using Mobile Sensors

Mitigation of clipping in sensors

Optical Nyquist-pulse generation with a power difference to the ideal sinc-shape sequence of < 1%

DNA Trans location through Low-Noise Glass Nanopores