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CMOS Compressed Imaging by Random Convolution

Pierre Vandergheynst, Alexandre Schmid, Yusuf Leblebici, Laurent Jacques, Vahid Majidzadeh Bafar

We present a CMOS imager with built-in capability to perform Compressed Sensing coding by Random Convolution. It is achieved by a shift register set in a pseudo-random configuration. It acts as a convolutive filter on the imager focal plane, the current is ...

2009

CMOS Compressed Imaging by Random Convolutions

Pierre Vandergheynst, Alexandre Schmid, Yusuf Leblebici, Laurent Jacques, Vahid Majidzadeh Bafar

IEEE Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2009

An iterative approach to monaural musical mixture de-soloing

In this article, we introduce a novel approach for monaural source separation with the specific aim to separate a polyphonic musical recording into two main sources: a main instrument (or melody) track and an accompaniment track. To that aim, we propose to ...

IEEE2009

Quasi-Interpolating Spline Models for Hexagonally-Sampled Data

Dimitri Nestor Alice Van De Ville

The reconstruction of a continuous-domain representation from sampled data is an essential element of many image processing tasks, in particular, image resampling. Until today, most image data have been available on Cartesian lattices, despite the many the ...

IEEE2007

Sector-Based Detection for Hands-Free Speech Enhancement in Cars

Guillaume Lathoud

Adaptation control of beamforming interference cancellation techniques is investigated for in-car speech acquisition. Two efficient adaptation control methods are proposed that avoid target cancellation. The ``implicit'' method varies the step-size continu ...

2006

Novel speech processing techniques for robust automatic speech recognition

Vivek Tyagi

The goal of this thesis is to develop and design new feature representations that can improve the automatic speech recognition (ASR) performance in clean as well noisy conditions. One of the main shortcomings of the fixed scale (typically 20-30 ms long ana ...

EPFL2006

Matérn B-Splines and the Optimal Reconstruction of Signals

Michaël Unser, Sathish Ramani

Starting from the power spectral density of Matérn stochastic processes, we introduce a new family of splines that is defined in terms of the whitening operator of such processes. We show that these Matérn splines admit a stable representation in a B-splin ...

IEEE2006

Tracking properties of a convex combination of two adaptive filters

Ali H. Sayed

Combination approaches provide a useful way to improve adaptive filter performance. In this paper, we study the tracking performance of an adaptive convex combination of two transversal filters. The individual filters are independently adapted using their ...

IEEE2005