Publications by Martin Vetterli

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Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

Martin Vetterli, Loïc Arnaud Baboulaz, Mitra Fatemi

The theory of compressed sensing studies the problem of recovering a high dimensional sparse vector from its projections onto lower dimensional subspaces. The recently introduced framework of infinite-dimensional compressed sensing [1], to some extent gene ...

2013

On Optimal Sampling Trajectories for Mobile Sensing

Martin Vetterli, Jayakrishnan Unnikrishnan

We study the design of sampling trajectories for stable sampling and reconstruction of bandlimited spatial fields using mobile sensors. As a performance metric we use the path density of a set of sampling trajectories, defined as the total distance travele ...

2013

Acoustic Echoes Reveal Room Shape

Martin Vetterli, Yue Lu, Ivan Dokmanic, Reza Parhizkar, Andreas Walther

Imagine that you are blindfolded inside an unknown room. You snap your fingers and listen to the room’s response. Can you hear the shape of the room? Some people can do it naturally, but can we design computer algorithms that hear rooms? We show how to com ...

National Academy of Sciences2013

Light ﬁeld panorama by a plenoptic camera

Martin Vetterli, Paolo Prandoni, Loïc Arnaud Baboulaz, Zhou Xue

Consumer-grade plenoptic camera Lytro draws a lot of interest from both academic and industrial world. However its low resolution in both spatial and angular domain prevents it from being used for ﬁne and detailed light ﬁeld acquisition. This paper propose ...

SPIE2013

On the Bandwidth of the Plenoptic Function

Martin Vetterli, Minh Do, Davy Marchand-Maillet

The plenoptic function (POF) provides a powerful conceptual tool for describing a number of problems in image/video processing, vision, and graphics. For example, image based-rendering can be seen as sampling and interpolation of the POF. In such applicati ...

Institute of Electrical and Electronics Engineers2012

Locating the Source of Diffusion in Large-Scale Networks

Martin Vetterli, Patrick Thiran, Pedro Pereira Correia Pinto

How can we localize the source of diffusion in a complex network? Due to the tremendous size of many real networks---such as the Internet or the human social graph---it is usually infeasible to observe the state of all nodes in a network. We show that it i ...

American Physical Society2012

Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

Martin Vetterli, Luciano Sbaiz, Yue Lu, Feng Yang

We study a new image sensor that is reminiscent of traditional photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measurement of the local light intensity. To analyze its performance, we formulate the oversam ...

Institute of Electrical and Electronics Engineers2012

Rate Distortion Behavior of Sparse Sources

Martin Vetterli

The rate distortion behavior of sparse memoryless sources is studied. These serve as models of sparse signal representations and facilitate the performance analysis of "sparsifying" transforms like the wavelet transform and nonlinear approximation schemes. ...

Institute of Electrical and Electronics Engineers2012

Martin Vetterli

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Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

Sampling and reconstructing diffusion fields in presence of aliasing

On Optimal Sampling Trajectories for Mobile Sensing

Acoustic Echoes Reveal Room Shape

Light ﬁeld panorama by a plenoptic camera

Super-resolution from unregistered aliased images with unknown scalings and shifts

On the Bandwidth of the Plenoptic Function

Locating the Source of Diffusion in Large-Scale Networks

Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

Rate Distortion Behavior of Sparse Sources

Super-resolution from unregistered aliased images with unknown scalings and shifts

Acoustic Echoes Reveal Room Shape

Light ﬁeld panorama by a plenoptic camera

Optimal Sampling Rates in Infinite-Dimensional Compressed Sensing

On the Bandwidth of the Plenoptic Function

Locating the Source of Diffusion in Large-Scale Networks

Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

Rate Distortion Behavior of Sparse Sources

Sampling and reconstructing diffusion fields in presence of aliasing

On Optimal Sampling Trajectories for Mobile Sensing