89 citations · 156 across the 13 of their papers we have counts for
6 papers · 1 filter
On spatial resolution, signal-to-noise and information capacity of linear imaging systems
Timur Gureyev, Yakov Nesterets, Frank de Hoog
A simple model for image formation in linear shift-invariant systems is considered, in which both the detected signal and the noise variance are varying slowly compared to the poin…
Monomorphous decomposition method for phase retrieval and phase-contrast tomography
T. E. Gureyev, Ya. I. Nesterets
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. th…
Evaluating the Performance of BSBL Methodology for EEG Source Localization On a Realistic Head Model
Sajib Saha, Rajib Rana, Ya. I. Nesterets +3
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…
Linear algorithms for phase retrieval in the Fresnel region: validity conditions
T. E. Gureyev, Ya. I. Nesterets
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.…
On the noise-resolution duality, Heisenberg uncertainty and Shannon's information
T. E. Gureyev, F. de Hoog, Ya. I. Nesterets +1
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 re…
Sparse Bayesian Learning for EEG Source Localization
Sajib Saha, Frank de Hoog, Ya. I. Nesterets +3
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…