Voice Assistant Project
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Updated
May 22, 2019 - Python
Voice Assistant Project
TeX files and source code for my ISIT 2017 submission. See the readme below for the full version of the paper.
Localization of brain sources measured by EEG using 3 approaches: Gibbs sampler (Markov chain Monte Carlo algorithm), Minimum Norm Estimates (MNE) and Source Imaging based on Structured Sparsity (SISSY)
Processing bioelectrical signals and medical images
Biomedical Signal & Image Processing Lab Projects.
Robotic Voice Assistant equipped with Binaural Audio Project
Acoustic source localisation implementation
Code to analyze high-density EEG and concurrent EMG/EOG datastreams during balance perturbations (replicates results from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088363/)
The code of paper "A Rapid Source Localization Method in the Early Stage of Large-scale Network Propagation" of the Web Conference 2022 (WWW 2022).
EEG Signal Processing project, solving the brain source localization problem using various methods and models.
The code of paper "A lightweight source localization in the early propagation stage".
This projects presents a couple of signal methods for detecting and localizing an acoustic signal source by using an Arduino Board and 4 microphones.
The code of paper "Sequential Attention Source Identification based on Feature Representation".
SDENet as Uncertainty Quantification Method for EEG Source Localization
Coupled matrix-tensor factorization for integrating EEG and ffMRI on the brain cortical surface with source reconstruction
EEG & MRI processing, Micro-States analysis & Sources localization
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
TRAP MUSIC algorithm for MEG/EEG multi-source localization
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