Zobrazeno 1 - 10
of 1 008
pro vyhledávání: '"P. Mokrý"'
Autor:
Mokrý, Ondřej, Rajmic, Pavel
Autoregressive (AR) modeling is invaluable in signal processing, in particular in speech and audio fields. Attempts in the literature can be found that regularize or constrain either the time-domain signal values or the AR coefficients, which is done
Externí odkaz:
http://arxiv.org/abs/2410.17790
The paper focuses on inpainting missing parts of an audio signal spectrogram. First, a recent successful approach based on an untrained neural network is revised and its several modifications are proposed, improving the signal-to-noise ratio of the r
Externí odkaz:
http://arxiv.org/abs/2409.06392
Autor:
Mokrý, Ondřej, Rajmic, Pavel
The paper presents an evaluation of popular audio inpainting methods based on autoregressive modeling, namely the extrapolation-based and Janssen methods. A novel variant of the Janssen method suitable for inpainting of gaps is also proposed. The mai
Externí odkaz:
http://arxiv.org/abs/2403.04433
A method for perfusion imaging with DCE-MRI is developed based on two popular paradigms: the low-rank + sparse model for optimisation-based reconstruction, and the deep unfolding. A learnable algorithm derived from a proximal algorithm is designed wi
Externí odkaz:
http://arxiv.org/abs/2312.07222
Autor:
Zitzer, G., Tiedau, J., Okhapkin, M. V., Zhang, K., Mokry, C., Runke, J., Düllmann, Ch. E., Peik, E.
Publikováno v:
Phys. Rev. A 109, 033116 (2024)
Sympathetic cooling of Th$^{3+}$ ions is demonstrated in an experiment where $^{229}$Th and $^{230}$Th are extracted from uranium recoil ion sources and are confined in a linear Paul trap together with laser-cooled $^{88}$Sr$^+$ ions. Because of thei
Externí odkaz:
http://arxiv.org/abs/2312.05106
Publikováno v:
2023 46th International Conference on Telecommunications and Signal Processing (TSP)
Sasaki et al. (2018) presented an efficient audio declipping algorithm, based on the properties of Hankel-structure matrices constructed from time-domain signal blocks. We adapt their approach to solving the audio inpainting problem, where samples ar
Externí odkaz:
http://arxiv.org/abs/2303.18023
Let $G$ be a closed highly homogeneous subgroup of $S_{\infty}$ not involving circular orderings. We show that the closure of a conjugacy class from $G$ contains a conjugacy class which is comeagre in it. Furthermore, we show that the family of finit
Externí odkaz:
http://arxiv.org/abs/2303.07915
Publikováno v:
AIP Advances, Vol 5, Iss 2, Pp 027132-027132-15 (2015)
The paper presents methods and experimental results of the semi-active control of noise transmission in a curved glass shell with attached piezoelectric macro fiber composite (MFC) actuators. The semi-active noise control is achieved via active elast
Externí odkaz:
https://doaj.org/article/0ba84863da3046b89283c904d0618898
Audio inpainting, i.e., the task of restoring missing or occluded audio signal samples, usually relies on sparse representations or autoregressive modeling. In this paper, we propose to structure the spectrogram with nonnegative matrix factorization
Externí odkaz:
http://arxiv.org/abs/2206.13768
Autor:
Matúš Dohál, Věra Dvořáková, Miluše Šperková, Martina Pinková, Arash Ghodousi, Maryam Omrani, Igor Porvazník, Erik Michael Rasmussen, Mária Škereňová, Michaela Krivošová, Jiří Wallenfels, Olha Konstantynovska, Timothy M. Walker, Vladyslav Nikolayevskyy, Daniela Maria Cirillo, Ivan Solovič, Juraj Mokrý
Publikováno v:
Journal of Epidemiology and Global Health, Vol 14, Iss 1, Pp 35-44 (2023)
Abstract Background The war in Ukraine has led to significant migration to neighboring countries, raising public health concerns. Notable tuberculosis (TB) incidence rates in Ukraine emphasize the immediate requirement to prioritize approaches that i
Externí odkaz:
https://doaj.org/article/332ba49b495744ae81c69e4b566aa118