141 lines
4.4 KiB
Markdown
141 lines
4.4 KiB
Markdown
# Library for Acoustic Signal Processing
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Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
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with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
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Current features that are implemented:
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- Communication with data acquisition (DAQ) devices, of which:
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- Internal sound cards via the [RtAudio](http://www.music.mcgill.ca/~gary/rtaudio) backend. Many thanks to Gary P. Scavone et al.
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- [Measurement Computing](https://www.mccdaq.com) [DT9838A](https://www.mccdaq.com/Products/Sound-Vibration-DAQ/DT9837) signal analyzer.
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- Configuration of DAQ devices: AC coupling, IEPE, sensitivity physical
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quantities.
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- Recording of signals from these DAQ devices, and storing in a HDF5 file.
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- Filter designers to create A/C sound pressure weighting
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- Biquad filter designers for low pass, high pass, peaking and notch filters
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- A Peak Programme Meter (PPM) to monitor signal levels from DAQ and to watch
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for signal clipping.
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- A signal generator to create sine waves, sweeps and noise (white / pink).
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- Equalizers to equalize the output prior to sending.
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- Averaged power spectra and power spectral density determination
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using Welch' method. Taper functions of Hann, Hamming, Bartlett and
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Blackman are provided.
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- (One third) octave filter bank filters designed to comply with IEC 61260
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(1995).
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- Slow and fast time updates of (A/C/Z) weighted sound pressure levels
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- Full Sound Level Meter implementation
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- Real time Sound Level meter, Power / Transfer function estimator
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- Spectra data smoothing algorithms
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- Sensor calibration for microphones
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Future features (wish-list)
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- Conventional and delay-and-sum beam-forming algorithms
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- Impedance tube measurement processing
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For now, the source code is well-documented on [lasp.ascee.nl](https://lasp.ascee.nl) but it requires some
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additional documentation (the math behind it). This is maintained
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in a sister repository [lasp-doc](https://code.ascee.nl/ascee/lasp-doc).
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If you have any question(s), please feel free to contact us: [email](info@ascee.nl).
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# Installation - Linux (Ubuntu-based)
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## From wheel (recommended for non-developers)
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### Prerequisites
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Run the following on the command line to install all prerequisites on
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Debian-based Linux:
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- `sudo apt install python3-pip libfftw3-3 libopenblas-base libusb-1.0-0
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libpulse0`
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### Download and install LASP
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Go to: [LASP releases](https://code.ascee.nl/ASCEE/lasp/releases/latest/) and
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download the latest `.whl`. Then run:
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- `pip install lasp-*-linux_x86_64.whl`
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## From source (Ubuntu-based)
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### Prerequisites
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Run the following one-liner:
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- `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`
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If building RtAudio with the ALSA backend, you will also require the following packages:
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- `sudo apt install libclalsadrv-dev`
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If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
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- `sudo apt install libjack-jackd2-dev`
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### Download & build
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- `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
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- `$ cd lasp`
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- `pip install -e .`
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# Installation - (x86_64) Windows (with WinPython), build with MSYS2 (NOT YET UPDATED!!)
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## Prerequisites
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- Download and install [WinPython](https://winpython.github.io)
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- Download and install [MSYS2](https://msys2.org). Make sure to install the
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x86_64 version.
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- Download and install [Git for Windows](https://git-scm.com)
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- When unzipping WinPython, make sure to choose a proper and simple path, i.e.
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C:\winpython
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- Append C:\winpython\ to the PATH environment variable.
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- Run Python and install Pybind11
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- `python -m pip install pybind11`
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- Open a msys2 **MINGW64** terminal. And run:
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- `pacman -S git`
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- Then clone the LASP repo:
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- `git clone https://code.ascee.nl/ascee/lasp`
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- `cd lasp`
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- Configure MSYS2 further, and run cmake:
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- `scripts/install_msys2_buiddeps.sh`
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- `scripts/configur_cmake_msys2.sh`
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# Documentation
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## Online
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[Online LASP documentation](https://lasp.ascee.nl/).
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## In directory
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`$ sudo apt install doxygen graphviz`
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`$ pip install doxypypy`
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While still in lasp dir:
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`$ doxygen`
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This will build the documentation. It can be read by:
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`$ <YOUR-BROWSER> doc/html/index.html`
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# Usage
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- See examples directories for IPython notebooks.
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- Please refer to the [documentation](https://lasp.ascee.nl/) for features.
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