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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:
- 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
If you have any question(s), please feel free to contact us: email.
Installation - Linux (Debian-based)
$ sudo apt install python3-pybind11 libopenblas-dev python3-pip python3-scipy libusb-1.0-0-dev libpulse-dev cmake-curses-gui python3-h5py
$ pip3 install --user -r requirements.txt
If building RtAudio with the ALSA backend, you will also require the following packages:
If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
Download & build
$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git
$ cd lasp
For a release build:
$ cmake .
or optionally for a custom build:
$ ccmake .
Configure and run:
$ make -j
$ sudo apt install doxygen graphviz
$ pip install doxypypy
While still in lasp dir:
This will build the documentation. It can be read by:
$ <YOUR-BROWSER> doc/html/index.html
Or via docker:
$ docker build -t lasp_ascee_nl:latest .
For an editable install (while developing):
$ pip3 install --prefix=$HOME/.local -e .
To install locally, for a fixed version:
$ pip3 install --prefix=$HOME/.local
- See examples directories for IPython notebooks.
- Please refer to the documentation for features.