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Graph-time signal processing: Filtering and sampling strategies
2019The necessity to process signals living in non-Euclidean domains, such as signals defined on the top of a graph, has led to the extension of signal processing techniques to the graph setting. Among different approaches, graph signal processing distinguishes itself by providing a Fourier analysis of these signals.
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Sampling Theory in Signal and Image Processing
2011Besides the proceedings, participants were invited to prepare an extended version of their SAMPTA contribution for a special issue of STSIP. Ten papers were accepted, covering a wide range of aspects of sampling theory (classical sampling, frame theory, wavelets, multi-resolution, operator approximation) and applications (impulse radio ultra-wide band,
Fesquet, Laurent, Torrésani, B.
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Single-atom catalysts boost signal amplification for biosensing
Chemical Society Reviews, 2021Chengzhou Zhu, Dan Du, Yuehe Lin
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Sampling in Digital Signal Processing and Control
Microelectronics Journal, 2001openaire +2 more sources
Advances in Prostate Cancer Chemotherapy: A New Era Begins
Ca-A Cancer Journal for Clinicians, 2005Kenneth J Pienta, David C Smith
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Signal integration in the endoplasmic reticulum unfolded protein response
Nature Reviews Molecular Cell Biology, 2007David Ron, Peter Walter
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Signal amplification using functional nanomaterials for biosensing
Chemical Society Reviews, 2012Jianping Lei, Huangxian Ju
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TGFβ–SMAD signal transduction: molecular specificity and functional flexibility
Nature Reviews Molecular Cell Biology, 2007Bernhard Schmierer, Caroline S Hill
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SignalP 5.0 improves signal peptide predictions using deep neural networks
Nature Biotechnology, 2019Jose Juan Almagro Armenteros+2 more
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An Introduction to Matrix Concentration Inequalities
Foundations and Trends in Machine Learning, 2015Joel A Tropp
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