matteo/constellationnet
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Using autoencoders to optimize two-dimensional signal constellations for fiber optic communication systems
42 Commits 1 Branch 0 Tags 238 KiB
Python 56.5%
CSV 43.5%
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Mattéo Delabre d8a140d793
Simplify arguments for ConstellationNet 		2019-12-18 10:26:35 -05:00
constellation Simplify arguments for ConstellationNet 2019-12-18 10:26:35 -05:00
output Save trained models and plot encoding 2019-12-13 15:17:57 -05:00
results Add experiment results 2019-12-17 01:47:54 -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 Save whole model to avoid definition duplicate 2019-12-18 10:17:59 -05:00
train.py Simplify arguments for ConstellationNet 2019-12-18 10:26:35 -05:00

README.md

constellation