ksonod/1D_signal_upsampling_and_denoising
Up-sampling and denoising signals using a deep neural network model
This project helps scientists and engineers improve the clarity and detail of their 1D signal data. You input low-resolution, noisy signals, such as molecular spectra or LiDAR histograms, and it outputs a higher-resolution, much cleaner version of the same signal. It's designed for anyone working with sensor data that suffers from limited resolution or significant noise.
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Use this if you need to transform coarse, noisy 1D measurements into precise, high-detail signals for better analysis or visualization.
Not ideal if your data is not 1D signal data or if you require real-time processing on embedded systems.
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12
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Language
Python
License
MIT
Category
Last pushed
Jun 07, 2024
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