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Graph-time signal processing: Filtering and sampling strategies

2019
The 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.
openaire   +4 more sources

Sampling Theory in Signal and Image Processing

2011
Besides 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.
openaire   +1 more source

Single-atom catalysts boost signal amplification for biosensing

Chemical Society Reviews, 2021
Chengzhou Zhu, Dan Du, Yuehe Lin
exaly  

Advances in Prostate Cancer Chemotherapy: A New Era Begins

Ca-A Cancer Journal for Clinicians, 2005
Kenneth J Pienta, David C Smith
exaly  

Signal integration in the endoplasmic reticulum unfolded protein response

Nature Reviews Molecular Cell Biology, 2007
David Ron, Peter Walter
exaly  

Signal amplification using functional nanomaterials for biosensing

Chemical Society Reviews, 2012
Jianping Lei, Huangxian Ju
exaly  

TGFβ–SMAD signal transduction: molecular specificity and functional flexibility

Nature Reviews Molecular Cell Biology, 2007
Bernhard Schmierer, Caroline S Hill
exaly  

SignalP 5.0 improves signal peptide predictions using deep neural networks

Nature Biotechnology, 2019
Jose Juan Almagro Armenteros   +2 more
exaly  

An Introduction to Matrix Concentration Inequalities

Foundations and Trends in Machine Learning, 2015
Joel A Tropp
exaly  

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