Zobrazeno 1 - 10
of 70
pro vyhledávání: '"Nesterets, Ya."'
Publikováno v:
Phys. Rev. A 97, 053819 (2018)
A generic computational imaging setup is considered which assumes sequential illumination of a semi-transparent object by an arbitrary set of structured illumination patterns. For each incident illumination pattern, all transmitted light is collected
Externí odkaz:
http://arxiv.org/abs/1801.01979
Publikováno v:
J. Opt. Soc. Am. A, Vol. 34, pp. 2251-2260 (2017)
The effectiveness of reconstructive imaging using the Homogeneous Transport of Intensity equation may be regarded as "unreasonable", because it has been shown to significantly increase signal-to-noise ratio while preserving spatial resolution, compar
Externí odkaz:
http://arxiv.org/abs/1708.02746
Evaluating the Performance of BSBL Methodology for EEG Source Localization On a Realistic Head Model
Source localization in EEG represents a high dimensional inverse problem, which is severely ill-posed by nature. Fortunately, sparsity constraints have come into rescue as it helps solving the ill-posed problems when the signal is sparse. When the si
Externí odkaz:
http://arxiv.org/abs/1504.06949
Autor:
Gureyev, T. E., Nesterets, Ya. I.
We describe the relationship between different forms of linearized expressions for the spatial distribution of intensity of X-ray projection images obtained in the Fresnel region. We prove that under the natural validity conditions some of the previo
Externí odkaz:
http://arxiv.org/abs/1503.06949
Autor:
Gureyev, T. E., Nesterets, Ya. I.
Publikováno v:
Phys. Rev. A 92, 053860 (2015)
We show that an arbitrary spatial distribution of complex refractive index inside an object can be exactly represented as a sum of two "monomorphous" complex distributions, i.e. the distributions with the ratios of the real part to the imaginary part
Externí odkaz:
http://arxiv.org/abs/1503.07008
Publikováno v:
ANZIAM J. 56 (2015) C1 - C15
Several variations of the Heisenberg uncertainty inequality are derived on the basis of "noise-resolution duality" recently proposed by the authors. The same approach leads to a related inequality that provides an upper limit for the information capa
Externí odkaz:
http://arxiv.org/abs/1503.04367
Purpose: Localizing the sources of electrical activity from electroencephalographic (EEG) data has gained considerable attention over the last few years. In this paper, we propose an innovative source localization method for EEG, based on Sparse Baye
Externí odkaz:
http://arxiv.org/abs/1501.04621
Localizing the sources of electrical activity in the brain from Electroencephalographic (EEG) data is an important tool for non-invasive study of brain dynamics. Generally, the source localization process involves a high-dimensional inverse problem t
Externí odkaz:
http://arxiv.org/abs/1406.2434
Autor:
Alloo, S. J., Croton, L. C. P., Kitchen, M. J., Paganin, D. M., Morgan, K. S., Nesterets, Ya. I., Mohammadi, S., Lockie, D., Menk, R. H., Arfelli, F., Zanconati, F., Dullin, C., Tromba, G., Pavlov, K. M.
Publikováno v:
AIP Conference Proceedings; 9/2/2023, Vol. 2990 Issue 1, p1-10, 10p
Publikováno v:
Philosophical Transactions: Mathematical, Physical and Engineering Sciences, 2014 Mar 01. 372(2010), 1-19.
Externí odkaz:
https://www.jstor.org/stable/24502590