Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Kotzagiannidis, Madeleine"'
Autor:
Schuff, Jonas, Carballido, Miguel J., Kotzagiannidis, Madeleine, Calvo, Juan Carlos, Caselli, Marco, Rawling, Jacob, Craig, David L., van Straaten, Barnaby, Severin, Brandon, Fedele, Federico, Svab, Simon, Kwon, Pierre Chevalier, Eggli, Rafael S., Patlatiuk, Taras, Korda, Nathan, Zumbühl, Dominik, Ares, Natalia
Spanning over two decades, the study of qubits in semiconductors for quantum computing has yielded significant breakthroughs. However, the development of large-scale semiconductor quantum circuits is still limited by challenges in efficiently tuning
Externí odkaz:
http://arxiv.org/abs/2402.03931
Bias triangles represent features in stability diagrams of Quantum Dot (QD) devices, whose occurrence and property analysis are crucial indicators for spin physics. Nevertheless, challenges associated with quality and availability of data as well as
Externí odkaz:
http://arxiv.org/abs/2312.03110
Graphs naturally lend themselves to model the complexities of Hyperspectral Image (HSI) data as well as to serve as semi-supervised classifiers by propagating given labels among nearest neighbours. In this work, we present a novel framework for the c
Externí odkaz:
http://arxiv.org/abs/2104.13268
Autor:
Kotzagiannidis, Madeleine S.
Graph Signal Processing (GSP), as the field concerned with the extension of classical signal processing concepts to the graph domain, is still at the beginning on the path toward providing a generalized theory of signal processing. As such, this thes
Externí odkaz:
https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.733237
We consider the problem of characterizing the `duality gap' between sparse synthesis- and cosparse analysis-driven signal models through the lens of spectral graph theory, in an effort to comprehend their precise equivalencies and discrepancies. By d
Externí odkaz:
http://arxiv.org/abs/1811.04493
In this work, we present a theoretical study of signals with sparse representations in the vertex domain of a graph, which is primarily motivated by the discrepancy arising from respectively adopting a synthesis and analysis view of the graph Laplaci
Externí odkaz:
http://arxiv.org/abs/1811.04460
With the objective of employing graphs toward a more generalized theory of signal processing, we present a novel sampling framework for (wavelet-)sparse signals defined on circulant graphs which extends basic properties of Finite Rate of Innovation (
Externí odkaz:
http://arxiv.org/abs/1606.08085
We present novel families of wavelets and associated filterbanks for the analysis and representation of functions defined on circulant graphs. In this work, we leverage the inherent vanishing moment property of the circulant graph Laplacian operator,
Externí odkaz:
http://arxiv.org/abs/1603.04917
Publikováno v:
数理解析研究所講究録別冊. :79-92
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::1c6c93dc201b9ca3dfb79aa69c8a0f62
http://hdl.handle.net/2433/196231
http://hdl.handle.net/2433/196231
Publikováno v:
Kotzagiannidis, M & Dragotti, P L 2014, Sparse graph signal reconstruction on circulant graphs with perturbations . in 10th International Conference on Mathematics in Signal Processing .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3094::c0a467f72d18a4e42fc9a1019c270e4c
https://hdl.handle.net/20.500.11820/36ca5609-5db5-4b28-a9c8-e833b2cd4907
https://hdl.handle.net/20.500.11820/36ca5609-5db5-4b28-a9c8-e833b2cd4907