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DiffuserCam Project

Publications associées (45)

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A Signal Processing Approach to Generalized 1-D Total Variation

Dimitri Nestor Alice Van De Ville, Fikret Isik Karahanoglu, Ilker Bayram

Total variation (TV) is a powerful method that brings great benefit for edge-preserving regularization. Despite being widely employed in image processing, it has restricted applicability for 1-D signal processing since piecewise-constant signals form a rat ...

Institute of Electrical and Electronics Engineers2011

Trends in Bioimaging and Signal Processing

Michaël Unser

This is the second in a series of three columns summarizing the "Trends" expert sessions organized by the Signal Processing Society Technical Committees during ICASSP 2011 in Prague, Czech Republic. Readers have an opportunity to access these Trends sessio ...

IEEE2011

Signal Processing Theory and Methods [In the Spotlight]

Ali H. Sayed, Ali Zoubir

The scope of the IEEE Signal Processing Theory and Methods (SPTM) Technical Committee has a broad span, ranging from digital filtering and adaptive signal processing to statistical signal analysis, estimation, and detection. There have also been significan ...

IEEE2011

Sparse spectral factorization: Unicity and Reconstruction Algorithms

Martin Vetterli, Yue Lu

Spectral factorization is a classical tool in signal processing and communications. It also plays a critical role in X-ray crystallography, in the context of phase retrieval. In this work, we study the problem of sparse spectral factorization, aiming to re ...

2011

The Ovuscule

Michaël Unser, Philippe Thévenaz, Ricard Delgado Gonzalo

We propose an active contour (a.k.a. snake) that takes the shape of an ellipse. Its evolution is driven by surface terms made of two contributions: the integral of the data over an inner ellipse, counterbalanced by the integral of the data over an outer el ...

IEEE2011

Reproducible Research in Signal Processing - What, why, and how

Martin Vetterli, Patrick Vandewalle

Have you ever tried to reproduce the results presented in a research paper? For many of our current publications, this would unfortunately be a challenging task. For a computational algorithm, details such as the exact data set, initialization or terminati ...

Institute of Electrical and Electronics Engineers2009

Multimodal Signal Processing: Methods and Techniques to Build Multimodal Interactive Systems

Jean-Philippe Thiran, Hervé Bourlard, Ferran Marqués

Multimodal signal processing is an important new field that processes signals from a variety of modalities - speech, vision, language, text- derived from one source, which aids human-computer and human-human interaction. The overarching theme of this book ...

Academic Press2009

Signal Processing for Communications

Martin Vetterli, Paolo Prandoni

With a novel, less classical approach to the subject, the authors have written a book with the conviction that signal processing should be taught to be fun. The threatment is therefore less focused on the mathematics and more on the conceptual aspects, the ...

EPFL Press, CRC2008

Hybrid continuous-discrete-time multi-bit delta-sigma A/D converters with auto-ranging algorithm

Sergio Pesenti

In wireless portable applications, a large part of the signal processing is performed in the digital domain. Digital circuits show many advantages. The power consumption and fabrication costs are low even for high levels of complexity. A well established a ...

EPFL2007

Digital adaptive phase noise reduction in coherent optical links

Ali H. Sayed

Coherent optical links enable high-density constellations and, consequently, a higher throughput. However, the phase noise associated with the transmitter and the receiver lasers is a challenging issue in coherent lightwave systems. The authors present an ...

IEEE2006