matteo/constellationnet
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constellationnet
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Using autoencoders to optimize two-dimensional signal constellations for fiber optic communication systems
20 Commits 1 Branch 0 Tags 238 KiB
Python 56.5%
CSV 43.5%
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Mattéo Delabre 34cb3b863b
Simplify channel model to account for normalized power 		2019-12-15 19:48:49 -05:00
constellation Simplify channel model to account for normalized power 2019-12-15 19:48:49 -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
plot.py Improve plot legibility 2019-12-15 02:07:52 -05:00
train.py Add convergence criterion plot during train 2019-12-15 19:42:50 -05:00

README.md

constellation