Problem Description
We have a time series signal that switches between two modes: on (e.g., at t = 0s) and off (e.g., at t = 0.001504s).
These modes correspond to different signal values.
Our goal is to develop a method for correct mode detection.
This will be done by the following steps:
Descriptive analysis of the signal in order to visually identify a mode detection if possible
First method for mode detection
Method for fast mode detection
Suggestions for improvement
Complete Case Study Available
The full case study, including code and data, is available on GitHub for easy access and replication:
Jupyter Notebook: Contains the complete analysis workflow with detailed explanations and all Python code.
Dataset: Provided for download to allow you to reproduce the results and explore further.
🔗 Download both the notebook and dataset from our GitHub repository:
https://github.com/3dStatisticalLearning/signal-mode-detection.git
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