Results 71 to 80 of about 184,341 (273)

Distributed Autoregressive Moving Average Graph Filters

, 2015
We introduce the concept of autoregressive moving average (ARMA) filters on a graph and show how they can be implemented in a distributed fashion.
Leus, Geert, Loukas, Andreas, Simonetto, Andrea   +2 more
core   +1 more source

Fast Graph Fourier Transforms Based on Graph Symmetry and Bipartition [PDF]

IEEE Transactions on Signal Processing, 2019
The graph Fourier transform (GFT) is an important tool for graph signal processing, with applications ranging from graph-based image processing to spectral clustering. However, unlike the discrete Fourier transform, the GFT typically does not have a fast algorithm. In this work, we develop new approaches to accelerate the GFT computation. In particular,
Keng-Shih Lu, Antonio Ortega
openaire   +2 more sources

Strain‐Activated Photo‐Dehalogenation Unlocks Low‐Energy One and Two‐Photon 3D Microfabrication

Advanced Functional Materials, EarlyView.
5,14‐NMI‐Cz acts, conversely to its 7,10‐NMI‐Cz(7,10‐'dibromo‐2‐(2,6‐diisopropylphenyl)‐1H‐benzo[lmn]carbazolo[9,1‐bc][2,8]phenanthroline‐1,3(2H)‐dione) counterpart, as modular photoinitiator with panchromatic photoactivity, featuring a weak C–Br bond from geometric strain for efficient Type I & II initiation. These studies demonstrate applicability of
Kacper Piskorz, Katarzyna Starzak, Malgorzata Noworyta, Konrad Cyprych, Krzysztof Bartkowski, Zahra Badri, Sukhvinder Dhiman, Cina Foroutan‐Nejad, Jaroslaw Mysliwiec, Marcin Lindner, Joanna Ortyl   +10 more
wiley   +1 more source

Durable Physically Mixed Microporous and Mesoporous MOFs/Nanofiber Aerogel 3D Composites for Effective Toxic Gas Capture and Organophosphonate Detoxification

Advanced Functional Materials, EarlyView.
Ultralight 3D nanofibrous aerogels embedded with metal‐organic frameworks effectively capture and neutralize toxic gases and organophosphonates. Incorporating mesoporous UiO‐66‐NH2 and HKUST‐1 into PAN/PVP fibers enables high MOF loading while maintaining mechanical strength and structural stability.
Mai O. Abdelmigeed, Muhammed Ziauddin Ahmad Ebrahim, John J. Mahle, Brandon B. Blount, Gregory W. Peterson, Saad A. Khan, Gregory N. Parsons   +6 more
wiley   +1 more source

Fourier could be a data scientist: From graph Fourier transform to signal processing on graphs

Comptes Rendus. Physique, 2019
The legacy of Joseph Fourier in science is vast, especially thanks to the essential tool that the Fourier transform is. The flexibility of this analysis, its computational efficiency and the physical interpretation it offers makes it a cornerstone in many scientific domains.
Ricaud, Benjamin, Borgnat, Pierre, Tremblay, Nicolas, Gonçalves, Paulo, Vandergheynst, Pierre   +4 more
openaire   +2 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Signal Variation Metrics and Graph Fourier Transforms for Directed Graphs

, 2023
In this paper we consider the problem of constructing graph Fourier transforms (GFTs) for directed graphs (digraphs), with a focus on developing multiple GFT designs that can capture different types of variation over the digraph node-domain. Specifically, for any given digraph we propose three GFT designs based on the polar decomposition. Our method is
Shimabukuro, Laura, Ortega, Antonio
openaire   +2 more sources

Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations [PDF]

IEEE Transactions on Signal and Information Processing over Networks, 2018
The Fast Fourier Transform (FFT) is an algorithm of paramount importance in signal processing as it allows to apply the Fourier transform in O(n log n) instead of O(n 2) arithmetic operations. Graph Signal Processing (GSP) is a recent research domain that generalizes classical signal processing tools, such as the Fourier transform, to situations where ...
Le Magoarou, Luc, Gribonval, Rémi, Tremblay, Nicolas   +2 more
openaire   +3 more sources

Synthetic Nanobiology Actuated Lipometabolic Cell Factory for Autologous Tumor Immunotherapy

Advanced Functional Materials, EarlyView.
FA plays a crucial role in the interaction between tumor cells and the tumor microenvironment, especially for the immune response. A biocatalytic immunoenhancement strategy is developed to boost antitumor immunity by FA metabolic orientation to ceramide. Through the design of this delicate catalytic immunoenhancement strategy, the synthetic nanobiology
Shoujie Zhao, Yejing Zhu, Hengchao Yu, Jun Zhu, Bo Wang, Yu Qiao, Zhimin Tian, Junlong Zhao, Lei Liu   +8 more
wiley   +1 more source

Coherent states in quantum gravity: a construction based on the flux representation of LQG

, 2012
As part of a wider study of coherent states in (loop) quantum gravity, we introduce a modification to the standard construction, based on the recently introduced (non-commutative) flux representation.
Oriti, Daniele, Pereira, Roberto, Sindoni, Lorenzo   +2 more
core   +1 more source