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Library for acoustic signal processing (Rust implementation of to-be-fast code). https://code.ascee.nl/ascee/lasprs
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v0.6.0
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J.A. de Jong - Redu-Sone B.V., ASCEE V.O.F 7662ff176c Bump 0.6.0
2024-08-26 21:57:47 +02:00
examples_py Added test files. Debugged quite some things. SLM needs still tests on statistics. Bugfix in frequency weighting filters. Added a lot of wrappers for Python calls. 2024-08-26 21:57:11 +02:00
python/lasprs First work on ZPKmodel for the benefit of the sound level meter implementation. Added code for bilinear transforms. Added butterworth analog filters. Documentation improvements. This is an intermediate commit of working code, but nothing finished. 2024-08-11 11:58:50 +02:00
src Added test files. Debugged quite some things. SLM needs still tests on statistics. Bugfix in frequency weighting filters. Added a lot of wrappers for Python calls. 2024-08-26 21:57:11 +02:00
tools Bugfixing on SLM. First tests. Code seems to work, but might still have subtle bugs (as timeweighting was wrong previous to this commit). 2024-08-19 23:02:13 +02:00
.gitignore Added test files. Debugged quite some things. SLM needs still tests on statistics. Bugfix in frequency weighting filters. Added a lot of wrappers for Python calls. 2024-08-26 21:57:11 +02:00
Cargo.toml Bump 0.6.0 2024-08-26 21:57:47 +02:00
noxfile.py Version bump with wrappers 2023-11-25 15:01:40 +01:00
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README.md Comment syntax markdown fix 2024-07-18 17:40:57 +02:00

README.md

LASPrs: Library for Acoustic Signal Processing in Rust

Welcome to LASPrs: Library for Acoustic Signal Processing. LASPrs is a rust library that provides tools and measurement software that enables the acquisition and processing of (multi) sensor data in real time on a PC and output results.

Note to potential users

This crate is still under heavy development. API changes happen on the fly. Documentation is not finished. Use with caution but except things to be broken and buggy.

Documentation

Documentation is provided at doc.rs.

Python bindings

The library has Python bindings (via pyo3, which can be installed via:

$ pip install git+https://code.ascee.nl/ascee/lasprs --install-option "--all-features"