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Double Sparsity: Towards Blind Estimation of Multiple Channels

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Amplitude and frequency are the two primary features of one-dimensional signals, and thus both are widely utilized to analysis data in numerous fields. While amplitude can be examined directly, frequency requires more elaborate approaches, except in the si ...

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Martin Vetterli, Yue Lu, Feng Yang

Method for image acquisition and conversion comprising: low-pass filtering an image by an acquisition lens, producing from said low-pass filtered image an up-sampled image with a first resolution with an up-sampling factor using a image sensor, converting ...

2012

Tracking the US business cycle with a singular spectrum analysis

In this paper we resort to singular spectrum analysis to disentangle the US GDP into several underlying components of interest. The business cycle indicator yielded through this method is shown to bear a resemblance with band-pass filtered output, and our ...

Elsevier2012

UV-patternable polymers with selective spectral response

Jürgen Brugger, Victor Javier Cadarso Busto

We present the characterization of dyed doped/modified Epocore resist (Microresist Technology, Germany) with three commercially-available dyes (Proquimac Color, Spain). After being doped with lilac, red and yellow dyes in a 1:2500 ratio (dye:Epocore, w:w), ...

Elsevier2012

Light filter and method for using such filter

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The invention concerns a light filter comprising a plate defined by a length along a direction x, a width along a direction y and a height along a direction z said plate including at least one chamber containing Liquid Crystals (LC) molecules and which is ...

2012

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Institute of Electrical and Electronics Engineers2012

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Springer2012

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The unusual frequency of hydro-meteorological events in recent decades, often with catastrophic consequences for society and the environment, require new methods for designing water management projects and the structures meant to protect us from natural ha ...

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A Wideband Doubly-Sparse Approach For MITO Sparse Filter Estimation

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We propose an approach for the estimation of sparse filters from a convolutive mixture of sources, exploiting the time-domain sparsity of the mixing filters and the sparsity of the sources in the time-frequency (TF) domain. The proposed approach is based o ...

IEEE2011

Estimating multiple filters from stereo mixtures: a double sparsity approach

Rémi Gribonval

We consider the problem of estimating multiple filters from convolutive mixtures of several unknown sources. We propose to exploit both the time-frequency (TF) sparsity of the sources and the sparsity of the mixing filters. Our framework consists of: a) a ...

2011