Tools

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from MathWorks® our L1-PCA Toolbox
from GITHUB our L1-PCA Toolbox for matrix and tensor data sets
from GITHUB our simulation code for proof of concept (semi)-blind reception of underwater acoustics in impulsive noise conditions using L1-norm principal component analysis
from GITHUB our simulation code for adaptive spread-spectrum underwater communications using auxiliary-vector filtering
from GITHUB our source code for lightning-fast modulation classification with hardware-efficient neural networks (part of our submission to ��ITU-ML5G-PS-007)
simulation tool for running noisy Random Boolean Networks with perturbations and lesioning to generate synthetic time series (gene expression) data
NYC telematics data with asynchronous sampling.

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