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--- tx-id [2019/05/02 15:58] – created cmorin
+++ tx-id [2019/07/03 11:42] (current) – [Content description] lcardoso
@@ Line 2: / Line 2: @@
 ==== Files ====
-TODO: Link files
+Mono receiver: [[http://xp.cortexlab.fr/storage/monoRxSet_012019.tgz|Dataset]]
-The setup used to generate this data (GNURadio blocks and flowgraphs, FIT/CorteXlab scenarios and example usage) can be found in [[http://example.com|this GitHub repository]]
+The setup used to generate this data (GNURadio blocks and flowgraphs, FIT/CorteXlab scenarios and example usage) can be found in [[https://github.com/Inria-Maracas/gr-txid|this GitHub repository]]
@@ Line 16: / Line 16: @@
 ==== Content description ====
-This is a compilation of the results of experiments run on the FIT/CorteXlab platform under different scenarios as described in the paper [[http://example.com|Transmitter Classification With Supervised
+This is a compilation of the results of experiments run on the FIT/CorteXlab platform under different scenarios as described in the paper [[https://arxiv.org/abs/1905.07923|Transmitter Classification With Supervised
-Deep Learning]] TODO: link paper.
+Deep Learning]].
 The archive contains a folder for each individual experiment, named after the time it was run.
@@ Line 32: / Line 32: @@
 The git repository contains an example of how to load the data in python and then serialize it with pickle for later use.