ianrowan/DeepWave
A Deep Learning Approach leveraging Transformer style Architectures for signal classification
DeepWave helps radio frequency engineers and researchers automatically identify the type of radio wave modulation from spectrogram images. You input spectrograms, and it tells you what kind of signal they represent. This is useful for anyone working with radio signal analysis and classification.
No commits in the last 6 months.
Use this if you need to classify different types of radio signals based on their visual spectrogram representations.
Not ideal if you are working with raw time-series signal data directly, as this tool focuses on spectrogram images.
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22
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2
Language
Python
License
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Category
Last pushed
Dec 05, 2019
Commits (30d)
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