jinglescode/python-signal-processing
splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.
This package helps you analyze and clean up raw signal data from various sources. You provide your collected signals, and it allows you to break them down into their core components, remove unwanted noise, and prepare them for further analysis or classification. It's designed for researchers, engineers, and scientists who work with time-series data like biological signals or sensor readings.
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Use this if you need to understand the underlying frequencies of a complex signal, remove noise, or extract meaningful features from your time-series data.
Not ideal if you are looking for a plug-and-play solution for complex machine learning models without understanding the signal processing steps involved.
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85
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28
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Sep 16, 2022
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