Publications related to Low-Complexity Subspace Methods for Channel Estimation and Synchronization in Ultra-Wideband Systems

A novel sampling theorem on the sphere

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

Random Sampling ADC for Sparse Spectrum Sensing

Andreas Peter Burg

Scanning large bandwidths (spectrum sensing) pushes today’s analog hardware to its limits since periodic sampling at Nyquist rate with sufficient resolution is often prohibitively complex. In this paper, we consider a scenario where the signal to be acquir ...

2011

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

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Pierre Vandergheynst, Rémi Gribonval, Laurent Jacques

In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This signal model is key for applications such as Ultra Wide Band (UWB) communica ...

2009

Parallel architecture for high-speed analog-to-digital conversion

Guillaume Ding

Nowadays digital signal processing systems used for radar applications, communication systems or RF measurement equipments, require very high sample-rates. Sometimes these sample-rates are beyond the possibilities offered by conventional ADCs. To overcome ...

EPFL2009

A Low-Rate Identification Method for Digital Predistorters Based on Volterra Kernel Interpolation

A novel identification and digital predistortion scheme of weakly nonlinear passband systems such as RF power amplifiers (PA) is presented. It is well known that for the identification of weakly nonlinear systems, despite the spectral regrowth, it suffices ...

2007

Super-Resolution from Unregistered and Totally Aliased Signals Using Subspace Methods

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

In many applications, the sampling frequency is limited by the physical characteristics of the components: the pixel pitch, the rate of the A/D converter, etc. A low-pass filter is then often applied before the sampling operation to avoid aliasing. However ...

Institute of Electrical and Electronics Engineers2007

Aliasing is Good for You: Joint Registration and Reconstruction for Super-Resolution

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

In many applications, the sampling frequency is limited by the physical characteristics of the components: the pixel pitch, the rate of the A/D converter, etc. A low-pass filter is then often applied before the sampling operation to avoid aliasing. However ...

2006

Channel Estimation and Synchronization with Sub-Nyquist Sampling and Application to Ultra-Wideband Systems

Martin Vetterli, Irena Maravic

We consider the problem of low-complexity channel estimation and timing in digital ultra-wideband receivers. We extend some of our recent results on sampling of certain classes of parametric non-bandlimited signals and develop a frequency domain framework ...

2004

How to take advantage of aliasing in bandlimited signals

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

In signal processing systems, aliasing is normally treated as a disturbing signal. That motivates the need for effective analog, optical and digital anti-aliasing filters. However, aliasing conveys also valuable information on the signal above the Nyquist ...

2004

Low-Complexity Subspace Methods for Channel Estimation and Synchronization in Ultra-Wideband Systems

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A novel sampling theorem on the sphere

Random Sampling ADC for Sparse Spectrum Sensing

Sampling Trajectories for Mobile Sensing

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Parallel architecture for high-speed analog-to-digital conversion

A Low-Rate Identification Method for Digital Predistorters Based on Volterra Kernel Interpolation

Super-Resolution from Unregistered and Totally Aliased Signals Using Subspace Methods

Aliasing is Good for You: Joint Registration and Reconstruction for Super-Resolution

Channel Estimation and Synchronization with Sub-Nyquist Sampling and Application to Ultra-Wideband Systems

How to take advantage of aliasing in bandlimited signals

A novel sampling theorem on the sphere

Parallel architecture for high-speed analog-to-digital conversion

Random Sampling ADC for Sparse Spectrum Sensing

Sampling Trajectories for Mobile Sensing

A Low-Rate Identification Method for Digital Predistorters Based on Volterra Kernel Interpolation

Compressive Sampling of Pulse Trains : Spread the Spectrum !

Super-Resolution from Unregistered and Totally Aliased Signals Using Subspace Methods

Channel Estimation and Synchronization with Sub-Nyquist Sampling and Application to Ultra-Wideband Systems

Aliasing is Good for You: Joint Registration and Reconstruction for Super-Resolution

How to take advantage of aliasing in bandlimited signals