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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J.A. de Jong 28358f5385 Added calibration settings 6 months ago
fftpack Added some comments, first change to doxyfile 2 years ago
img First work on SLM. Seems to be working properly without pre-filtering and bandpass bank 1 year ago
lasp Added calibration settings 6 months ago
scripts Renamed an attribute in daqconfigs. Small bugfix in lasp_calibrate.py 11 months ago
test Added Second Order Sections filterbank. Works much better that Fir filterbank. Does not need decimation. Easy generation of filters with scipy.signal.butter. 1 year ago
.gitattributes Split up GUI in different Widgets, added revtime, added figure list possibilities, added Qt Resources, added About panel, added lots of comments, export and import of measurements 2 years ago
.gitignore Somewhere inbetween. Everything broken 1 year ago
CMakeLists.txt Big change to new stream configuration. Possibility to include output channels back to input 6 months ago
Doxyfile Some markup improvements and comments. 2 years ago
LICENSE Initial commit 3 years ago
README.md Exposed AvPowerSpectra explicitly. Comment improvements. Line breakages, etc. Added 10s and infinite to TimeWeighting types. 1 year ago
setup.py Big change to new stream configuration. Possibility to include output channels back to input 6 months ago

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 process (multi-) microphone acoustic data in real time on a PC and output results.

The main goal of this library will be the processing of data from an array of microphones real time, on a Raspberry PI. 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:

  • 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 in a later stage.

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

Installation

Compilation

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
  • libclalsadrv-dev
  • libopenblas-base
  • libopenblas-dev

Dependencies

Ubuntu / Linux Mint

Only tested with Linux Mint 18.04. The following Dependencies are required for Ubuntu: