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)
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).
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".
Sparsity enables subcortical source estimation, Krishnaswamy et al, PNAS 2017
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
TRAP MUSIC algorithm for MEG/EEG multi-source localization
TRAP MUSIC algorithm for MEG/EEG multi-source localization
ICA preprocessing & source localization for EEG. Please read wiki for detailed info:
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interface…
Sequential adaptive elastic net (SAEN) approach, complex-valued LARS solver for weighted Lasso/elastic-net problems, and sparsity (or model) order detection with an application to single-snapshot source localization.
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