115 lines
3.7 KiB
Markdown
115 lines
3.7 KiB
Markdown
# Library for Acoustic Signal Processing
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- Master branch: [](https://drone.ascee.nl/ASCEE/lasp)
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- Develop branch: [](https://drone.ascee.nl/ASCEE/lasp)
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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 (Debian-based)
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## Dependencies
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- `$ sudo apt install python3-pybind11 libopenblas-dev python3-pip python3-scipy libusb-1.0-0-dev libpulse-dev cmake-curses-gui python3-h5py`
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- `$ pip3 install --user -r requirements.txt`
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If building RtAudio with the ALSA backend, you will also require the following packages:
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- 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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- 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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For a release build:
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- `$ cmake .`
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or optionally for a custom build:
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- `$ ccmake .`
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Configure and run:
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- `$ make -j`
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### Build documentation
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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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Or via docker:
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`$ docker build -t lasp_ascee_nl:latest .`
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## Install
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For an editable install (while developing):
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- `$ pip3 install --prefix=$HOME/.local -e .`
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To install locally, for a fixed version:
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- `$ pip3 install --prefix=$HOME/.local`
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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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