[PDF] Top 20 M/EEG source localization with multi-scale time-frequency dictionaries

M/EEG source localization with multi-scale time-frequency dictionaries

... (EEG) source localization is a challenging ill- posed ...the source reconstruction in both standard and time-frequency ...domains. Source localization in the ... Voir le document complet

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M/EEG source localization with multi-scale time-frequency dictionaries

... (EEG) source localization is a challenging ill- posed ...the source reconstruction in both standard and time-frequency ...domains. Source localization in the ... Voir le document complet

5

Multi-way Space-Time-WaveVector analysis for EEG source separation

... the source time signals prior to the ac- tual source ...the source localization as can be seen from the cortical LORETA solutions based on the averaged potential data and the ... Voir le document complet

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Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation

... discarding time/frequency regions of the spectrogram that show a percussive magnitude evolution, according to a predefined parametric model ...onset localization) and is therefore not fully automatic ... Voir le document complet

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Sparse EEG Source Localization Using Bernoulli Laplacian Priors

... run with four parallel chains (as stated in Section V-A1) until the potential scale reduction factor of all the generated samples was below ...running time that does not depend on the kind of simula- ... Voir le document complet

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Topography-Time-Frequency Atomic Decomposition for Event-Related M/EEG Signals.

... × time) into fixed spatial topographies and corresponding time courses, as in ...dipolar source localization with fixed dipoles, principal component analysis (PCA), independent ... Voir le document complet

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Inverse Problems with Time-frequency Dictionaries and non-white Gaussian Noise

... signals. Source imaging with MEG and EEG delivers insights into the active brain at a millisecond time scale in a non-invasive ...focal source configurations are commonly ... Voir le document complet

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Brain source localization using a physics-driven structured cosparse representation of EEG signals

... activities with low signal-to-noise ratio from ElectroEncephaloGraphic (EEG) recordings is a challenging ...novel source localization method, named CoRE, which uses a Cosparse Representation ... Voir le document complet

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Optimal time-frequency bases for EEG signal classification in BCI context

... classifying multi-sensor signals, more precisely EEG signals in the context of Brain Computer Interfaces (BCI), by selection of time-frequency ...of time-frequency atoms, ... Voir le document complet

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Characterization and Robust Classification of EEG Signal from Image RSVP Events with Independent Time-Frequency Features

... the EEG recordings from 2 s before to 3 s after the onset of a target image that has been correctly identified; similarly, a non-target epoch contains the EEG recordings from 2 s before to 3 s after the ... Voir le document complet

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Acoustic source localization

... Three methods of reconstruction - Disciplined Convex Programming, Orthogonal Matching Pursuit, and Compressive Sensing- will be explored, and their robustness to noise, a[r] ... Voir le document complet

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EEG source localization based on a structured sparsity prior and a partially collapsed Gibbs sampler

... NTRODUCTION EEG source localization is an ill-posed inverse problem [1] that continues to attract a significant amount of interest in the signal and image processing ...each time sample ... Voir le document complet

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Subject-specific time-frequency selection for multi-class motor imagery-based BCIs using few Laplacian EEG channels

... [54] T. Solis-Escalante, G. Müller-Putz, G. Pfurtscheller, Overt foot movement detection in one single Laplacian EEG derivation, J. Neurosci. Methods 175 (2008) 148–153. [55] S. Fitzgibbon, D. DeLosAngeles, T. ... Voir le document complet

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Time-delay estimation and source localization in radar systems

... In 1979, Schmidt et al. [ 23 ] proposed the famous multiple signal classification (MUSIC) method, which opened a new page in the signal processing history with asymptotic infinite resolution and unbiased ... Voir le document complet

129

Semi-supervised {NMF} with time-frequency annotations for single-channel source separation

... All source tracks were down-sampled from 44100 Hz to 16000 Hz, and down-mixed to mono by taking the average of left and right ...various source files, and then a final mix is created by summing the two ... Voir le document complet

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Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints

... precise localization of the active areas (SMA and M1) can be seen; while EEG detected activities in SMA but not the left motor ...in EEG because of its high temporal precision. The multi-modal ... Voir le document complet

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Time-frequency and time-scale analysis of deformed stationary processes, with application to non-stationary sound modeling

... A good example of such situations is provided by the classical shape from texture problem of image processing (see for example [5, 6]), where a regular (stationary) texture is projected on a curved surface, yielding ... Voir le document complet

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en fr Suppression du bruit de signaux EEG épileptiques Signal subspace identification for epileptic source localization from electroencephalographic data

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet

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Probabilistic Time-Frequency Source-Filter Decomposition of Non-Stationary Signals

... Short Time Fourier Trans- form (STFT) [7] is often considered as a convenient TF trans- form, because under some smoothness assumptions it allows the approximation of convolution by multiplying each col- umn of an ... Voir le document complet

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Particle detection and localization using Taylor approximation of continuous dictionaries

... 1 Introduction L’imagerie de particules intéresse plusieurs secteurs allant de l’aérodynamique au biomédical, citons la vélocimétrie par image de particules (PIV) [1][2], l’holographie en ligne [3] et la microscopie en ... Voir le document complet

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