Publications related to Multichannel Sampling of Signals With Finite Rate of Innovation

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Simple thermal noise estimation of OTA-based switched-capacitor filters

Christian Enz, Assim Boukhayma, François Krummenacher

This paper presents a new analytical method to simply estimate the integrated thermal noise in switched-capacitor filters (SCF). It is shown how the Bode theorem, which is theoretically valid only for continuous-time passive filters, can be extended to als ...

2015

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Dimitri Nestor Alice Van De Ville, Thierry Blu, Zafer Dogan

Finite rate of innovation (FRI) is a recent framework for sampling and reconstruction of a large class of parametric signals that are characterized by finite number of innovations (parameters) per unit interval. In the absence of noise, exact recovery of F ...

Institute of Electrical and Electronics Engineers2015

Hardware-Software Inexactness in Noise-aware Design of Low-Power Body Sensor Nodes

David Atienza Alonso, Pierre Vandergheynst, Giovanni Ansaloni, Mohamed Mostafa Sabry Aly, Hossein Mamaghanian

Wireless Body Sensor Nodes (WBSNs) are miniaturized and ultra-low-power devices, able to acquire and wirelessly trans- mit biosignals such as electrocardiograms (ECG) for extended periods of times and with little discomfort for subjects [1]. Energy efficie ...

2014

Design optimization for low light CMOS image sensors readout chain

Christian Enz, Assim Boukhayma

Email Print Request Permissions For a CIS readout chain based on 4T pixel, column amplification and CDS, we confirm that thermal noise can be reduced to be neglected compared to 1/f noise using parameters independent of the pixel design, namely column leve ...

2014

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

Rafael Eduardo Carrillo Rangel

Commonly employed reconstruction algorithms in compressed sensing (CS) use the L-2 norm as the metric for the residual error. However, it is well-known that least squares (LS) based estimators are highly sensitive to outliers present in the measurement vec ...

Institute of Electrical and Electronics Engineers2013

Comment on “Reply to Comment on ‘Encoding many channels on the same frequency through radio vorticity: first experimental test’”

Julien Perruisseau-Carrier, Michele Tamagnone

We show that the reply by Tamburini et al (2012 New J. Phys. 14 118002) to our previous comment (2012 New J. Phys. 14 118001) on the experiment reported in Tamburini et al (2012 New J. Phys. 14 033001) does not actually invalidate any of the issues raised ...

Institute of Physics (IoP) and Deutsche Physikalische Gesellschaft2013

Bits from Photons

Feng Yang

The trends in the design of image sensors are to build sensors with low noise, high sensitivity, high dynamic range, and small pixel size. How can we benefit from pixels with small size and high sensitivity? In this dissertation, we study a new image senso ...

EPFL2012

Estimation of Sparse MIMO Channels with Common Support

Martin Vetterli, Ali Hormati, Yann Barbotin

We consider the problem of estimating sparse communication channels in the MIMO context. In small to medium bandwidth communications, as in the current standards for OFDM and CDMA communication systems (with bandwidth up to 20 MHz), such channels are indiv ...

2012

Ergodic Interference Alignment

Michael Christoph Gastpar

This paper develops a new communication strategy, ergodic interference alignment, for the K-user interference channel with time-varying fading. At any particular time, each receiver will see a superposition of the transmitted signals plus noise. The standa ...

Institute of Electrical and Electronics Engineers2012

Multichannel Sampling of Signals With Finite Rate of Innovation

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Sampling and Reconstruction of Shapes with Algebraic Boundaries

Simple thermal noise estimation of OTA-based switched-capacitor filters

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Hardware-Software Inexactness in Noise-aware Design of Low-Power Body Sensor Nodes

Design optimization for low light CMOS image sensors readout chain

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

Comment on “Reply to Comment on ‘Encoding many channels on the same frequency through radio vorticity: first experimental test’”

Bits from Photons

Estimation of Sparse MIMO Channels with Common Support

Ergodic Interference Alignment

Simple thermal noise estimation of OTA-based switched-capacitor filters

Design optimization for low light CMOS image sensors readout chain

Bits from Photons

Hardware-Software Inexactness in Noise-aware Design of Low-Power Body Sensor Nodes

Estimation of Sparse MIMO Channels with Common Support

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Reconstruction of Finite Rate of Innovation Signals with Model-Fitting Approach

Lorentzian Iterative Hard Thresholding: Robust Compressed Sensing With Prior Information

Comment on “Reply to Comment on ‘Encoding many channels on the same frequency through radio vorticity: first experimental test’”

Ergodic Interference Alignment