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https://github.com/rakibhhridoy/classifyoutersignals-spacesignals
Space signals comes with huge noise in it. For analyzing the signals we have to make sure there is as less noise as possible. Detecting the noise and denoising the signals is quite hard to do. As a Data Science Analytics one should have the capability to handling any kind of dataset.
https://github.com/rakibhhridoy/classifyoutersignals-spacesignals
autoencoders deep-learning denoising keras lstm machine-learning python signal-processing space space-signals
Last synced: about 4 hours ago
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Space signals comes with huge noise in it. For analyzing the signals we have to make sure there is as less noise as possible. Detecting the noise and denoising the signals is quite hard to do. As a Data Science Analytics one should have the capability to handling any kind of dataset.
- Host: GitHub
- URL: https://github.com/rakibhhridoy/classifyoutersignals-spacesignals
- Owner: rakibhhridoy
- Created: 2020-08-31T06:54:11.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2020-08-31T06:54:29.000Z (about 4 years ago)
- Last Synced: 2023-03-09T10:33:15.853Z (over 1 year ago)
- Topics: autoencoders, deep-learning, denoising, keras, lstm, machine-learning, python, signal-processing, space, space-signals
- Language: Jupyter Notebook
- Homepage: https://rakibhhridoy.github.io
- Size: 9.43 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0