matteo

Using autoencoders to optimize two-dimensional signal constellations for fiber optic communication systems

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Mattéo Delabre fe23fda86d Shuffle configurations in experiment		2019-12-16 13:32:32 -05:00
constellation	Add product_dict util function	2019-12-16 11:32:25 -05:00
output	Save trained models and plot encoding	2019-12-13 15:17:57 -05:00
.gitignore	Add Gaussian channel model	2019-12-14 23:04:35 -05:00
README.md	Initial commit	2019-12-11 19:13:40 -05:00
experiment.py	Shuffle configurations in experiment	2019-12-16 13:32:32 -05:00
plot.py	Add noise to plot	2019-12-16 09:22:24 -05:00
train.py	Set learning rate to 10^-3	2019-12-16 10:31:29 -05:00

constellation