Morse Code Symbol Classification

We present two synthetic datasets on classification of Morse code symbols for supervised machine learning problems, in particular, neural networks. The linked Github page has algorithms for generating a family of such datasets of varying difficulty. The datasets are spatially one-dimensional and have a small number of input features, leading to high density of input information content. This makes them particularly challenging when implementing network complexity reduction methods.

Dataset Files

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[1] Sourya Dey, "Morse Code Symbol Classification", IEEE Dataport, 2019. [Online]. Available: http://dx.doi.org/10.21227/wbhw-py68. Accessed: May. 28, 2020.
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doi = {10.21227/wbhw-py68},
url = {http://dx.doi.org/10.21227/wbhw-py68},
author = {Sourya Dey },
publisher = {IEEE Dataport},
title = {Morse Code Symbol Classification},
year = {2019} }
TY - DATA
T1 - Morse Code Symbol Classification
AU - Sourya Dey
PY - 2019
PB - IEEE Dataport
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Sourya Dey. (2019). Morse Code Symbol Classification. IEEE Dataport. http://dx.doi.org/10.21227/wbhw-py68
Sourya Dey, 2019. Morse Code Symbol Classification. Available at: http://dx.doi.org/10.21227/wbhw-py68.
Sourya Dey. (2019). "Morse Code Symbol Classification." Web.
1. Sourya Dey. Morse Code Symbol Classification [Internet]. IEEE Dataport; 2019. Available from : http://dx.doi.org/10.21227/wbhw-py68
Sourya Dey. "Morse Code Symbol Classification." doi: 10.21227/wbhw-py68