lasp/README.md

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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 process (multi-) microphone
acoustic data in real time on a PC and output results.
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At the point in time of this writing, we are yet unsure whether the Raspberry
PI will have enough computational power to this end, but may be by the time it
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is finished, we have a new faster generation :).
Current features that are implemented:
- Compile-time determination of the floating-point accuracy (32/64 bit)
- Fast convolution FIR filter implementation
- Sample rate decimation by an integer factor of 4.
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- Octave filterbank FIR filters designed to comply with IEC 61260
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(1995).
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- Averaged power spectra and power spectral density determination
using Welch' method. Taper functions of Hann, Hamming, Bartlett and
Blackman are provided.
- A thread-safe job queue including routines to create worker threads.
- Several linear algebra routines (wrappers around BLAS and LAPACK).
- A nice debug tracer implementation
- Third octave filter bank FIR filters designed to comply with IEC 61260
(1995).
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- Slow and fast time updates of (A/C/Z) weighted sound pressure levels
Future features (wish-list)
- Conventional and delay-and-sum beam-forming algorithms
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For now, the source code is well-documented but it requires some
additional documentation (the math behind it). This will be published
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in a sister repository (https://code.ascee.nl/ascee/lasp-doc).
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If you have any question(s), please feel free to contact us: info@ascee.nl.
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# Building from source
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Two commands that install all requirements (for Ubuntu / Linux Mint)
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- `pip install scipy numpy build scikit-build appdirs`
- `sudo apt install libusb-dev libpulse-dev libboost-dev`
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## Runtime dependencies (Linux)
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- FFTW (For really fast FFT's). If compiled with Ffftpack, this library is not
required.
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- libUlDAQ, for the Measurement Computing DT9837A USB DAQ box
- GNU Autotools, for compiling libUlDAQ
- RtAudio, for Audio DAQ backends
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- libusb
- BLAS (OpenBLAS, other).
## Editable install
In the root directory of the repository, run:
- `pip3 isntall --user -e .`
- `cmake .`
- `make -j`
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## Build dependencies
Optional dependencies, which can be turned ON/OFF using CMake:
- Build tools: compiler [http://cmake.org](CMake), the Python packages:
- Scipy
- Numpy
- appdirs
These can all be installed using:
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- The following Python packages need also be available:
- `Scipy` (which includes Numpy). Install with `sudo apt install
python3-scipy`, or `pacman -S scipy`.
- `appdirs`, which can be grabbed from [https://pypi.org](Pypi)
## Compilation of LASP
### Archlinux
Compiling the code on Archlinux requires the following packages to be available:
- openblas-lapack (AUR)
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- Python>=3.7
- Numpy (Python-numpy)
- Cython
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### Ubuntu / Linux Mint
*Only tested with Linux Mint 18.04*, we require the following packages for
compilation:
- build-essential
- cython
- python3-numpy
- libopenblas
If building RtAudio with the ALSA backend:
- libclalsadrv-dev
- libopenblas-base
- libopenblas-dev
- libusb-1.0-dev