ASCEE/lasp
ASCEE/lasp
5
1
Fork 0
Code Issues 5 Pull Requests Actions Releases 14 Activity
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
271 Commits 7 Branches 29 Tags 2.7 MiB
C++ 54.9%
Python 40.8%
CMake 3.4%
Shell 0.6%
C 0.2%
Other 0.1%
417c1bd3d8
Go to file
Casper 417c1bd3d8 Removed error in smoothing function
2021-10-15 16:02:26 +02:00
fftpack Added some comments, first change to doxyfile 2018-12-29 13:57:32 +01:00
img First work on SLM. Seems to be working properly without pre-filtering and bandpass bank 2020-01-20 12:10:24 +01:00
lasp Removed error in smoothing function 2021-10-15 16:02:26 +02:00
scripts Change in DaqConfigurations API for consistency 2021-05-14 11:24:07 +02:00
test Throughput of flag LASP_PARALLEL. If not set, some downstream code will be broken as JobQueues will not go empty for this case. For all code in the library, a serial implementation works off the not present job queue 2021-09-15 21:10:27 +02:00
.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 2018-05-02 16:29:53 +02:00
.gitignore Major cleanup of build code (CMake related). First steps towards C++ and C-compiler safety. Also first steps made to get single precision back to working 2021-09-14 20:05:42 +02:00
CMakeLists.txt Bugfix: wrong #define statements, resulting in no Audio APIs at all 2021-10-04 20:54:36 +02:00
Doxyfile Some markup improvements and comments. 2019-01-05 12:13:05 +01:00
LICENSE Initial commit 2018-03-05 20:58:03 +01:00
README.md Some improvements in build, some comments added 2021-05-23 22:53:48 +02:00
setup.py Forgot to add 32-64 bits definitions to include in wrappers.pyx. Now fixed. Removed constrained on h5py version. This might result in new instabilities, but we expect it to be more fixed. 2021-10-04 15:53:22 +02:00

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

Windows specific

Tested using a Anacond / Miniconda Python environment. Please first run the following command:

conda install fftw

in case you want the FFTW fft backend.

Dependencies

Ubuntu / Linux Mint

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