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Martin Vetterli

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Publications associées (262)

Compressive sampling

Martin Vetterli

The ten articles in this special section provide the reader with specific insights into the basic theory, capabilities, and limitations of compressed sensing (CS). ...

2008

Groebner Basis Methods for Multichannel Sampling with Unknown Offsets

Martin Vetterli, Luciano Sbaiz, Patrick Vandewalle

In multichannel sampling, several sets of sub-Nyquist sampled signal values are acquired. The offsets between the sets are unknown, and have to be resolved, just like the parameters of the signal itself. This problem is nonlinear in the offsets, but linear ...

Elsevier2008

Sparse Sampling of Signal Innovations

Martin Vetterli, Pina Marziliano, Pier Luigi Dragotti, Thierry Blu, Lionel Coulot

Sparse sampling of continuous-time sparse signals is addressed. In particular, it is shown that sampling at the rate of innovation is possible, in some sense applying Occam's razor to the sampling of sparse signals. The noisy case is analyzed and solved, p ...

Institute of Electrical and Electronics Engineers2008

Subspace-Based Methods for Image Registration and Super-Resolution

Martin Vetterli, Pier Luigi Dragotti, Loïc Arnaud Baboulaz, Patrick Vandewalle

Super-resolution algorithms combine multiple low resolution images into a single high resolution image. They have received a lot of attention recently in various application domains such as HDTV, satellite imaging, and video surveillance. These techniques ...

2008

The Hitchhiker's Guide to Successful Wireless Sensor Network Deployments

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

The successful deployment of a wireless sensor network is a difficult task, littered with traps and pitfalls. Even a functional network does not guarantee gathering meaningful data. In SensorScope, with its high-mountain campaigns, we have acquired invalua ...

2008

SensorScope, un système clef en main de surveillance de l'environnement

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

Given the importance of climate changes and their potentially dramatic consequences for human beings, designing precise and reliable evolution models is of prime importance. Unfortunately, current data collection techniques are rather limited as they make ...

2008

Wireless Sensor Networks for Environmental Monitoring: The SensorScope Experience

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest

While wireless sensor networks have been extensively studied in the past few years, most results are of theoretical nature and were obtained outside of a practical context. This can be problematic for real applications, especially in the area of environmen ...

2008

Distributed Compressed Sensing: Sparsity Models and Reconstruction Algorithms Using Annihilating Filter

Martin Vetterli, Ali Hormati

Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some common parts, and some variations. The question is how to acquire such signals and ...

2008

SensorScope: Out-of-the-Box Environmental Monitoring

Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, François Ingelrest

Environmental monitoring constitutes an important field of application for wireless sensor networks. Given the severity of potential climate changes, environmental impact on cities, and pollution, it is a domain where sensor networks can have great impact ...

IEEE2008

SensorScope: Out-of-the-Box Environmental Monitoring

Martin Vetterli, Olivier Couach, Guillermo Barrenetxea Kobas, Marc Parlange, François Ingelrest

An important field of application for wireless sensor networks is environmental monitoring. Given the importance of potential climate changes, environmental impact on cities, and pollution, it is an application domain where sensor networks can have great i ...

2008

Assessing the Challenges of Environmental Signal Processing through the SensorScope Project

Martin Vetterli, Guillermo Barrenetxea Kobas, François Ingelrest, Yue Lu

SensorScope is a collaborative project between network, signal processing, and environmental researchers that aims at providing a cheap and out-of-the-box environmental monitoring system based on a wireless sensor network. It has been successfully used in ...

2008

Which Distributed Averaging Algorithm Should I Choose for my Sensor Network?

Patrick Thiran, Martin Vetterli, Patrick Denantes, Florence Bénézit

Average consensus and gossip algorithms have recently received significant attention, mainly because they constitute simple and robust algorithms for distributed information processing over networks. Inspired by heat diffusion, they compute the average of ...

Institute of Electrical and Electronics Engineers2008

Wave field coding in the spacetime frequency domain

Martin Vetterli, Francisco Pereira Correia Pinto

We present a new method for compressing spatio-temporal audio data for reproduction through Wave Field Synthesis. The data is obtained by sampling the sound field in space at equally-spaced points on a straight line, and transformed into the frequency doma ...

2008

Time of flight estimation method using beamforming for acoustic tomography

Martin Vetterli, Olivier Roy, Ivana Jovanovic, Ali Hormati

It is disclosed an acoustic tomography method to improve the time of flight estimation, said method comprising the steps of: sequentially triggering a set of N transmitters so as to generate a sequence of N acoustic waves through a volume being scanned; re ...

2008

Sound Field Analysis Along a Circle and its Application to HRTF Interpolation

Martin Vetterli, Luciano Sbaiz, Christof Faller, Thibaut Ajdler

The sampling and interpolation of a sound field in two and three dimensions along a circle is discussed. The Fourier domain representation of the sound field is used, and an angular sampling theorem is developed for the sampling of the sound field along a ...

2008

Space-frequency quantization for image compression with directionlets

Martin Vetterli, Vladan Velisavljevic

The standard separable 2-D wavelet transform (WT) has recently achieved a great success in image processing because it provides a sparse representation of smooth images. However, it fails to efficiently capture 1-D discontinuities, like edges or contours. ...

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

Distributed Spatial Audio Coding in Wireless Hearing Aids

Martin Vetterli, Olivier Roy

The information content of binaural signals can be beneficial to many algorithms deployed in current digital hearing aids. However, the exchange of such signals over a wireless communication link requires transmission schemes that must fulfill demanding te ...

2007

A Stochastic Model for Video and its Information Rates

Martin Vetterli, Minh Do

We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (i.e. "realities"). The sources of information are combined generating a vecto ...

2007

Tomographic approach for parametric estimation of local diffusive sources and application to heat diffusion

Martin Vetterli, Luciano Sbaiz, Ivana Jovanovic

We consider localized instantaneous sources that reside in a 2D dif- fusive environment. Our goal is to reconstruct the induced field from the measurements obtained by distributed sensors. Although the field is non-bandlimited, we capitalize on the fact th ...

2007

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