https://github.com/imperialcollegelondon/waveform-extractor
Reconstructing waveforms using Fourier series from any figures of your wish.
Science Score: 13.0%
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Low similarity (9.8%) to scientific vocabulary
Repository
Reconstructing waveforms using Fourier series from any figures of your wish.
Basic Info
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Metadata Files
README.md
Waveform Extractor
About
Waveform Extractor is a lightweight toolbox allowing you to extract any waveform $Q$ (preferably, periodic) from a raster figure and reconstruct into 21 Fourier terms (surely the code is scalable for any 2D regression method upon request).
The code is inspired by Dr Zhuo Cheng's in-house MATLAB code initially developed in 2007. The new version
- incorporates a simple tkinter-based user interface for i/o path selection and data input,
- incorporates a data point removal feature (right mouse button) that allows users to revoke any wrongly labelled points on the current canvas, and
- fixed an inherited hidden bug in the original MATLAB code, which would result in unreasonable $y$-shifting under the presence of negative-valued data.
To Use
The directory /asset provides three figures for rapid testing purposes.
Waveform Extractor v1.0.3 is also compiled with PyInstaller and ready for the quick Windows deployment. The package is downloadable at https://imperialcollegelondon.box.com/s/ncbg6oxqfu43raw4aez47hc9921adwde.
Note: the pre-compiled package disabled the debug mode for users' access to more detailed backend info. To enable the debug mode, simply execute the code
python WaveformExtractor.py --debug
or
python WaveformExtractor.py -d
The debug script debug_fourier.py allows you to visualise the reconstructed waveform against the original points taken.
last update: 27/04/2024
Owner
- Name: Imperial College London
- Login: ImperialCollegeLondon
- Kind: organization
- Email: icgithub-support@imperial.ac.uk
- Location: Imperial College London
- Repositories: 311
- Profile: https://github.com/ImperialCollegeLondon
Imperial College main code repository
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