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[![Build Status](https://drone.ascee.nl/api/badges/ASCEE/lasp/status.svg)](https://drone.ascee.nl/ASCEE/lasp) [![Build Status](https://drone.ascee.nl/api/badges/ASCEE/lasp/status.svg)](https://drone.ascee.nl/ASCEE/lasp)
Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
with a Python interface which is supposed to process (multi-) microphone with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
acoustic data in real time on a PC and output results.
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
is finished, we have a new faster generation :).
Current features that are implemented: Current features that are implemented:
- Compile-time determination of the floating-point accuracy (32/64 bit) - Compile-time determination of the floating-point accuracy (32/64 bit)
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If you have any question(s), please feel free to contact us: info@ascee.nl. If you have any question(s), please feel free to contact us: info@ascee.nl.
# Installation
# Building from source ## Dependencies
Two commands that install all requirements (for Ubuntu / Linux Mint) - `$ sudo apt install libopenblas-dev python3-pip python3-scipy libusb-dev libpulse-dev cmake-curses-gui python3-h5py`
- `$ pip3 install --user -r requirements.txt`
- `pip install scipy numpy build scikit-build appdirs`
- `sudo apt install libusb-dev libpulse-dev libboost-dev`
## Runtime dependencies (Linux)
- FFTW (For really fast FFT's). If compiled with Ffftpack, this library is not
required.
- libUlDAQ, for the Measurement Computing DT9837A USB DAQ box
- GNU Autotools, for compiling libUlDAQ
- RtAudio, for Audio DAQ backends
- libusb
- BLAS (OpenBLAS, other).
## Editable install
In the root directory of the repository, run:
- `pip3 isntall --user -e .`
- `cmake .`
- `make -j`
If building RtAudio with the ALSA backend, you will also require the following packages:
## 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:
- 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)
- Python>=3.7
- Numpy (Python-numpy)
- Cython
### 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 - libclalsadrv-dev
- libopenblas-base
- libopenblas-dev
- libusb-1.0-dev
If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
- libjack-jackd2-dev
## 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`
### Build documentation
`$ sudo apt install doxygen`
While still in lasp dir:
`$ doxygen`
This will build the documentation. It can be read by:
`$ <YOUR-BROWSER> doc/html/index.html`
## Install
For an editable install (while developing):
- `$ pip3 install --prefix=$HOME/.local -e .`
To install locally, for a fixed version:
- `$ pip3 install --prefix=$HOME/.local`
## Usage
See examples directories for IPython notebooks.

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appdirs
dataclasses_json dataclasses_json
h5py