Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Felix Krahmer"'
Autor:
Claudio M. Verdun, Tim Fuchs, Pavol Harar, Dennis Elbrächter, David S. Fischer, Julius Berner, Philipp Grohs, Fabian J. Theis, Felix Krahmer
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
Background: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has increased drastically, resulting in shortages of necessary materials to conduct the tests and overwhelming the capacity of testing laboratories. The supply scarcity a
Externí odkaz:
https://doaj.org/article/bec6e7ffd46147e8ae24995e9d58e959
Publikováno v:
SIAM Journal on Matrix Analysis and Applications. 43:1806-1850
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Sampling Theory, Signal Processing, and Data Analysis. 20
We provide moment bounds for expressions of the type $$(X^{(1)} \otimes \cdots \otimes X^{(d)})^T A (X^{(1)} \otimes \cdots \otimes X^{(d)})$$ ( X ( 1 ) ⊗ ⋯ ⊗ X ( d ) ) T A ( X ( 1 ) ⊗ ⋯ ⊗ X ( d ) ) where $$\otimes $$ ⊗ denotes the Kron
Publikováno v:
arXiv
Shannon's sampling theorem is one of the cornerstone topics that is well understood and explored, both mathematically and algorithmically. That said, practical realization of this theorem still suffers from a severe bottleneck due to the fundamental
Publikováno v:
Analysis and Applications. 19:1-20
We construct high order low-bit Sigma-Delta $(\Sigma \Delta)$ quantizers for the vector-valued setting of fusion frames. We prove that these $\Sigma \Delta$ quantizers can be stably implemented to quantize fusion frame measurements on subspaces $W_n$
Publikováno v:
IEEE Transactions on Signal Processing, 70
Conventional literature on array signal processing (ASP) is based on the "capture first, process" later philosophy and to this end, signal processing algorithms are typically decoupled from the hardware. This poses fundamental limitations because if
Publikováno v:
Compressed Sensing in Information Processing ISBN: 9783031097447
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c7f5a4ac37090c73a930bb952e60f94
https://doi.org/10.1007/978-3-031-09745-4_2
https://doi.org/10.1007/978-3-031-09745-4_2
Publikováno v:
Applied and Computational Harmonic Analysis. 47:1014-1032
We provide the first analysis of a non-trivial quantization scheme for compressed sensing with structured measurements. We consider compressed sensing matrices consisting of rows selected randomly, without replacement, from a circulant matrix generat
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.