[PDF] Top 20 MEG/EEG source imaging with a non-convex penalty in the time-frequency domain
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MEG/EEG source imaging with a non-convex penalty in the time-frequency domain
... ONCLUSION In this work, we presented irTF-MxNE, an MEG/EEG inverse solver based on regularized regression with a composite non-convex ...solve the ... Voir le document complet
5
M/EEG source localization with multi-scale time-frequency dictionaries
... (EEG) source localization is a challenging ill- posed ...candidates, the problem requires setting certain constraints depending on the assumptions or a priori knowledge about ... Voir le document complet
5
Exploration of multivariate EEG /MEG signals using non-stationary models
... neuroscience, the most widely used algorithms are Infomax [ Bell and Sejnowski , 1995 ] and FastICA [ Hyvärinen , 1999 ...on the marginal (instantaneous) distribution of the data: they ignore any ... Voir le document complet
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Denoising of ictal EEG data using semi-blind source separation methods based on time-frequency priors
... step in diagnosis and study of epileptic disorders. Indeed, at the very beginning of seizures, ictal EEG has a low amplitude and its morphology in the time domain ... Voir le document complet
10
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
... CONCLUSION In this work, we presented irMxNE, an MEG/EEG in- verse solver based on regularized regression with a non- convex block-separable ...penalty. ... Voir le document complet
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Improved MEG/EEG source localization with reweighted mixed-norms
... propose a sparse MEG/EEG source imaging approach based on regularized regression with a ℓ ...-quasinorm penalty. We solve the non-convex ... Voir le document complet
5
M/EEG source localization with multi-scale time-frequency dictionaries
... (EEG) source localization is a challenging ill- posed ...candidates, the problem requires setting certain constraints depending on the assumptions or a priori knowledge about ... Voir le document complet
5
Real-time optical properties and oxygenation imaging using custom parallel processing in the spatial frequency domain
... light A detailed description and validation of the spatio-temporal modulation of light method used in this study is available here ...extract the optical properties of the tissue of ... Voir le document complet
14
Multi-subject MEG/EEG source imaging with sparse multi-task regression
... on MEG data Datasets description. The different strategies were evaluated on two publicly available MEG datasets: DS117 [66] and Cam-CAN ...MRI, MEG, EEG and fMRI data of 16 healthy ... Voir le document complet
25
Blind Source Separation Approaches to Remove Imaging Artefacts in EEG Signals Recorded Simultaneously with fMRI
... However, the EEG signals recorded during MRI acqui- sition contain two main types of artifacts due to the mag- netic field used by the MRI scanner: the ballistocardiogram (BCG) and ... Voir le document complet
6
Separating Time-Frequency Sources from Time-Domain Convolutive Mixtures Using Non-negative Matrix Factorization
... shown in Table 1 (lines 2 to 5), higher overlap means higher re- dundancy. The VEM algorithm was run for 200 ...to the SDR, SIR and SAR, the more redun- dancy we use, the better ... Voir le document complet
6
MIMO Hardware Simulator: Time Domain Versus Frequency Domain Architectures
... Conclusion In this paper, the frequency approach has been presented and analyzed in ...First, the simple frequency archi- tecture has been ...from the FFT/IFFT modules to ... Voir le document complet
21
Computation of Source for Non-Meshed Coils in a Reduced Domain with A–V Formulation
... dΩ, with J s the source current density defined such that J s = curl H s .... The trace n × H s in term (3c) is zero when Γ is at ...only in a reduced domain, it ... Voir le document complet
2
Multichannel HR-NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain
... present a basic proof of concept of the pro- posed multichannel HR-NMF ...model. The following experiments deal with a unique source (S = 1) formed of a real piano sound ... Voir le document complet
5
Ultrasonic imaging based on frequency-domain optimization form
... to the result of the TDTE method [2] in Fig. 3. The locations of the objects are the same in both topological images and the im- ages are very alike despite ... Voir le document complet
7
Efficient frequency-domain MMSE turbo equalization derivation and performance comparison with the time-domain counterpart
... is a n T length vector with coefficient in posi- tion i equal to one and the other ones equal to ...zero. In [1, 13, 15, 16, 18], estimation of s( n) is based on MMSE linear estimation ... Voir le document complet
8
Frequency domain compressive sampling for ultrasound imaging
... under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly ...is a recent theory that ... Voir le document complet
18
Spatial frequency domain imaging in 2019: principles, applications, and perspectives
... reviewed in 2.1 , a broad set of models have been developed and adapted specifically for SFDI and different ...from the most accurate and small scale approach with the radiative ... Voir le document complet
20
Differences in MEG and EEG power-law scaling explained by a coupling between spatial coherence and frequency: a simulation study
... Conclusion In conclusion, we demonstrated that the combination of the spatio-temporal structure of brain activity and biophysical effects is a putative mechanism to explain differences ... Voir le document complet
20
Multichannel high resolution NMF for modelling convolutive mixtures of non-stationary signals in the time-frequency domain
... France, in 2001, and the Ph.D. degree from the ENST in 2005, in the field of signal ...received the ParisTech Ph.D. Award in 2006, and the Ha- bilitation ... Voir le document complet
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