In-house Python Library for Acoustic Signal Processing (LASP): fractional octave filter banks, Fourier analysis, code for doing acoustic measurements and beamforming tools. http://code.ascee.nl/ASCEE/lasp

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README.md

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:

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.
Octave filterbank FIR filters designed to comply with IEC 61260 (1995).
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).
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

For now, the source code is well-documented but it requires some additional documentation (the math behind it). This will be published in a sister repository (https://code.ascee.nl/ascee/lasp-doc).

If you have any question(s), please feel free to contact us: info@ascee.nl.

Installation

Dependencies

$ 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:

libclalsadrv-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.