SigLyser
The signal processing application.
Provides the following functionality:
-
FFT (fast fourier transform) for time domain data.
-
3D FFT for time domain data where speed (of engine or any component) is also present.
-
Amplitude and RMS (root mean square) of time domain data.
Project Log
May 2024:
Included RMS and Amplitude Functionality
April 2024:
Create the siglyser library after creating the base code in 2018.
Project Road Map:
- Documentation for existing functionality
- Include example data within library
- develop more examples
- Time domain signal parsing, analyses, smoothening and standardising.
- CSV and Excel parsing functionality without using Pandas library
- App for siglyser (may be a separate python package)
Metadata
Release files for siglyser 0.24
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| siglyser-0.24.tar.gz | 4.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| siglyser-0.24-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.6 kB
Release files / siglyser-0.24.tar.gz
| Download URL | siglyser-0.24.tar.gz |
|---|---|
| Size | 4.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
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Release files / siglyser-0.24-py3-none-any.whl
| Download URL | siglyser-0.24-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Security for siglyser 0.24
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