Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Mark A. Iwen"'
Publikováno v:
Applied and Computational Harmonic Analysis. 66:161-192
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27682813b3f8fb1f6569349f008f8c44
https://doi.org/10.1016/j.acha.2023.04.007
https://doi.org/10.1016/j.acha.2023.04.007
Publikováno v:
Linear Algebra and its Applications. 626:79-151
Let ‖ A ‖ max : = max i , j | A i , j | denote the maximum magnitude of entries of a given matrix A. In this paper we show that max { ‖ U r ‖ max , ‖ V r ‖ max } ≤ ( C r ) 6 r N , where U r and V r are the matrices whose columns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9370ae314e6bb949a573ac801d1e8f82
https://doi.org/10.1016/j.laa.2021.05.015
https://doi.org/10.1016/j.laa.2021.05.015
On Fast Johnson–Lindenstrauss Embeddings of Compact Submanifolds of $$\mathbbm {R}^N$$ with Boundary
Publikováno v:
Discrete & Computational Geometry.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f70042805712d03feb68a38759a3a2da
https://doi.org/10.1007/s00454-022-00420-w
https://doi.org/10.1007/s00454-022-00420-w
Publikováno v:
Information and Inference: A Journal of the IMA. 10:1491-1531
We propose a two-step approach for reconstructing a signal $\textbf x\in \mathbb{C}^d$ from subsampled discrete short-time Fourier transform magnitude (spectogram) measurements: first, we use an aliased Wigner distribution deconvolution approach to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb87aa1dce4cd85765784e7483ebcdb2
https://doi.org/10.1093/imaiai/iaaa023
https://doi.org/10.1093/imaiai/iaaa023
Autor:
Rayan Saab, Nada Sissouno, Frank Filbir, Wolfgang zu Castell, Mark A. Iwen, Florian Boßmann, Maik Kahnt, Christian G. Schroer
Publikováno v:
Math. Comput. Simul. 176, 292-300 (2020)
Measurements achieved with ptychographic imaging are a special case of diffraction measurements. They are generated by illuminating small parts of a sample with, e.g., a focused X-ray beam. By shifting the sample, a set of far-field diffraction patte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9e04ea037226dcc136a6a7031a312e1
https://doi.org/10.1016/j.matcom.2019.11.003
https://doi.org/10.1016/j.matcom.2019.11.003
Publikováno v:
Applied and Computational Harmonic Analysis. 48:415-444
We improve a phase retrieval approach that uses correlation-based measurements with compactly supported measurement masks [30] . Our approach admits deterministic measurement constructions together with a robust, fast recovery algorithm that consists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e3d8201daf4b8048dd3a3905b56ddd2b
https://doi.org/10.1016/j.acha.2018.06.004
https://doi.org/10.1016/j.acha.2018.06.004
Publikováno v:
EUSIPCO
We present an algorithm which is closely related to direct phase retrieval methods that have been shown to work well empirically [1], [2] and prove that it is guaranteed to recover (up to a global phase) a large class of compactly supported smooth fu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4ce7fccf495627953ec44c9a56232fb
https://doi.org/10.23919/eusipco47968.2020.9287698
https://doi.org/10.23919/eusipco47968.2020.9287698
In this paper we present the first known deterministic algorithm for the construction of multiple rank-1 lattices for the approximation of periodic functions of many variables. The algorithm works by converting a potentially large reconstructing sing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43dec98c7687911e1659276162997349
Publikováno v:
Advances in Computational Mathematics. 45:519-561
In this paper a deterministic sparse Fourier transform algorithm is presented which breaks the quadratic-in-sparsity runtime bottleneck for a large class of periodic functions exhibiting structured frequency support. These functions include, e.g., th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79a12cb9c2d395ade91f5cbefdc93dec
https://doi.org/10.1007/s10444-018-9626-4
https://doi.org/10.1007/s10444-018-9626-4
Publikováno v:
Proceedings of the IEEE. 106:1341-1358
The widespread use of multisensor technology and the emergence of big data sets have brought the necessity to develop more versatile tools to represent higher order data with multiple aspects and high dimensionality. Data in the form of multidimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3df1d514a489c43f1777eac1d10a12bc
https://doi.org/10.1109/jproc.2018.2848209
https://doi.org/10.1109/jproc.2018.2848209