147 lines
5.0 KiB
Markdown
147 lines
5.0 KiB
Markdown
Library for Acoustic Signal Processing
|
|
======================================
|
|
|
|
|
|
Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
|
|
with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
|
|
|
|
Current features that are implemented:
|
|
|
|
|
|
- Communication with data acquisition (DAQ) devices, of which:
|
|
- Internal sound cards via the [RtAudio](http://www.music.mcgill.ca/~gary/rtaudio) backend. Many thanks to Gary P. Scavone et al.
|
|
- [Measurement Computing](https://www.mccdaq.com) [DT9838A](https://www.mccdaq.com/Products/Sound-Vibration-DAQ/DT9837) signal analyzer.
|
|
- Configuration of DAQ devices: AC coupling, IEPE, sensitivity physical
|
|
quantities.
|
|
- Recording of signals from these DAQ devices, and storing in a HDF5 file.
|
|
- Filter designers to create A/C sound pressure weighting
|
|
- Biquad filter designers for low pass, high pass, peaking and notch filters
|
|
- A Peak Programme Meter (PPM) to monitor signal levels from DAQ and to watch
|
|
for signal clipping.
|
|
- A signal generator to create sine waves, sweeps and noise (white / pink).
|
|
- Equalizers to equalize the output prior to sending.
|
|
- Averaged power spectra and power spectral density determination
|
|
using Welch' method. Taper functions of Hann, Hamming, Bartlett and
|
|
Blackman are provided.
|
|
- (One third) octave filter bank filters designed to comply with IEC 61260
|
|
(1995).
|
|
- Slow and fast time updates of (A/C/Z) weighted sound pressure levels
|
|
- Full Sound Level Meter implementation
|
|
- Real time Sound Level meter, Power / Transfer function estimator
|
|
- Spectra data smoothing algorithms
|
|
- Sensor calibration for microphones
|
|
|
|
|
|
Future features (wish-list)
|
|
|
|
|
|
- Conventional and delay-and-sum beam-forming algorithms
|
|
- Impedance tube measurement processing
|
|
|
|
For now, the source code is well-documented on [lasp.ascee.nl](https://lasp.ascee.nl) but it requires some
|
|
additional documentation (the math behind it). This is maintained
|
|
in a sister repository [lasp-doc](https://code.ascee.nl/ascee/lasp-doc).
|
|
|
|
If you have any question(s), please feel free to contact us: [email](info@ascee.nl).
|
|
|
|
# Installation - Linux (Ubuntu-based)
|
|
|
|
## Prerequisites
|
|
|
|
Run the following on the command line to install all prerequisites on
|
|
Debian-based Linux:
|
|
|
|
- `sudo apt install python3-pip libfftw3-3 libopenblas-base libusb-1.0-0 libpulse0`
|
|
|
|
## Installation from wheel (recommended for non-developers)
|
|
|
|
Go to: [LASP releases](https://code.ascee.nl/ASCEE/lasp/releases/latest/) and
|
|
download the latest `.whl`. Then run:
|
|
|
|
- `pip install lasp-*-linux_x86_64.whl`
|
|
|
|
## From source (Ubuntu-based)
|
|
|
|
### Prerequisites
|
|
|
|
Run the following one-liner:
|
|
|
|
- `sudo apt install -y git python3 python3-virtualenv python3-venv libopenblas-dev python3-pip libfftw3-dev libusb-1.0-0-dev libpulse-dev python3-build`
|
|
|
|
If building RtAudio with the ALSA backend, you will also require the following packages:
|
|
|
|
- `sudo apt install libclalsadrv-dev`
|
|
|
|
If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
|
|
|
|
- `sudo apt install libjack-jackd2-dev`
|
|
|
|
### Download & build
|
|
|
|
- `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
|
|
- `$ cd lasp`
|
|
- `pip install -e .`
|
|
|
|
# Installation - (x86_64) Windows (with WinPython), build with MSYS2
|
|
|
|
## Prerequisites
|
|
|
|
- Download and install [WinPython](https://winpython.github.io)
|
|
|
|
## From wheel
|
|
|
|
- Download latest wheel from [LASP releases](https://code.ascee.nl/ASCEE/lasp/releases/latest/) and
|
|
download the latest `.whl`. Then install with `pip`.
|
|
|
|
## From source
|
|
|
|
- Download and install [MSYS2](https://msys2.org). Make sure to install the
|
|
x86_64 version.
|
|
- When unzipping WinPython, make sure to choose a proper and simple path, i.e.
|
|
C:\winpython
|
|
- Download and install [Git for Windows](https://git-scm.com)
|
|
- Open an MSYS2 **MINGW64** terminal, and install some tools we require:
|
|
- `$ pacman -S git`
|
|
- Create a new virtualenv:
|
|
- `$ /c/winpython/<py-distr-dir>/python.exe -m venv venv`
|
|
- Add the venv-python to the path (eases a lot of commands)
|
|
- `$ export PATH=$PATH:~/venv/Scripts`
|
|
- Install `build`:
|
|
- `$ pip install build`
|
|
- Clone LASP:
|
|
- `$ git clone --recurse-submodules https://code.ascee.nl/ascee/lasp && cd lasp`
|
|
- If run for the first time, we have to install the libraries we depend on in
|
|
MSYS2 (this only has to be done on a fresh MSYS2 installation):
|
|
- `$ scripts/install_msys2_builddeps.sh`
|
|
- Copy over required DLL's to be included in distribution:
|
|
- `scripts/copy_windows_dlls.sh`
|
|
- And... build!
|
|
- `pyproject-build`
|
|
- Lastly: the generated wheel can be installed in the current virtualenv:
|
|
- `pip install dist/lasp*.whl`
|
|
|
|
|
|
# Documentation
|
|
|
|
## Online
|
|
|
|
[Online LASP documentation](https://lasp.ascee.nl/).
|
|
|
|
## In directory (Linux/Debian)
|
|
|
|
`$ sudo apt install doxygen graphviz`
|
|
`$ pip install doxypypy`
|
|
|
|
While still in lasp dir:
|
|
|
|
`$ doxygen`
|
|
|
|
This will build the documentation. It can be read by:
|
|
|
|
`$ <YOUR-BROWSER> doc/html/index.html`
|
|
|
|
# Usage
|
|
|
|
- See examples directories for IPython notebooks.
|
|
- Please refer to the [documentation](https://lasp.ascee.nl/) for features.
|