Publication
Multichannel Sampling of Signals With Finite Rate of Innovation
Publications associées (52)
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 to the image plane, where denotes the indicator function and is some r ...
2016Simple 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 ...
2015Reconstruction 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 Engineers2015Hardware-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 ...
2014Design 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 ...
2014Lorentzian 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 Engineers2013Comment 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 Gesellschaft2013Bits from Photons
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 ...
EPFL2012Estimation 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 ...
2012Ergodic Interference Alignment
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