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Signal Processing for Communications

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Piezoresistive effect in epoxy–graphite composites

Peter Ryser, Thomas Maeder

In this work, we investigate the piezoresistive response of epoxy–graphite composites. A resistive thick-film Wheatstone bridge is deposited by screen-printing onto a beam, a weight is then applied on the tip of the beam and the resulting electrical signal ...

Elsevier2012

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

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

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

Realistic 3D coherent transfer function inverse filtering of complex fields

Christian Depeursinge, Daniel Boss, Muhammed Fatih Toy, Yann Jérôme Michel Pascal Cotte, Cristian Arfire, Shanshan Kou

We present a novel technique for three-dimensional (3D) image processing of complex fields. It consists in inverting the coherent image formation by filtering the complex spectrum with a realistic 3D coherent transfer function (CTF) of a high-NA digital ho ...

Optical Society of America2011

Distributed Detection Over Adaptive Networks Using Diffusion Adaptation

Ali H. Sayed

We study the problem of distributed detection, where a set of nodes is required to decide between two hypotheses based on available measurements. We seek fully distributed and adaptive implementations, where all nodes make individual real-time decisions by ...

IEEE2011

Slow light fiber systems in microwave photonics

Luc Thévenaz, Sang Hoon Chin

Slow light systems are particularly attractive for analog signal processing, since their inherent limitation to a delay-bandwidth product of 1 is less critical for analog systems such as those used in microwave photonics. We present here the implementation ...

SPIE2011

A Laplacian pyramid scheme in graph signal processing

Mohammadjavad Faraji

In this report we extend the ideas behind classical multiscale signal processing techniques in order to analyze data residing on graphs. In particular, we extend the notions of filtering, downsampling, and upsampling to functions defined on graphs. We then ...

2011

Design, Optimization, and Sensorless Control of a Linear Actuator

Joël Maridor

Electrical contactors are relays for interputing high currents (up to 2000 A). They consist of three main distinct parts: the low voltage circuit, the high voltage circuit and the linear actuator that moves the contact. The purpose of this thesis is to des ...

EPFL2011

Ultrafast Clock Recovery and Sampling by Single Parametric Device

Camille Sophie Brès

We propose and demonstrate a new architecture that combines clock recovery and signal processing functions in a single fiber device. By using parasitic cross-phase modulation of idler wave generated within the parametric sampling gate, rate-variable self-s ...

Institute of Electrical and Electronics Engineers2011