89 lines
2.4 KiB
Markdown
89 lines
2.4 KiB
Markdown
# Library for Acoustic Signal Processing
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Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C++ library
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with a Python interface which is supposed to acquire and process (multi) sensor data in real time on a PC and output results.
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Current features that are implemented:
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- Compile-time determination of the floating-point accuracy (32/64 bit)
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- Fast convolution FIR filter implementation
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- 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
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using Welch' method. Taper functions of Hann, Hamming, Bartlett and
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Blackman are provided.
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- A thread-safe job queue including routines to create worker threads.
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- Several linear algebra routines (wrappers around BLAS and LAPACK).
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- A nice debug tracer implementation
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- Third octave filter bank FIR filters designed to comply with IEC 61260
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(1995).
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- Slow and fast time updates of (A/C/Z) weighted sound pressure levels
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Future features (wish-list)
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- Conventional and delay-and-sum beam-forming algorithms
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For now, the source code is well-documented but it requires some
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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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# Installation
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## Dependencies
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- `$ sudo apt install libopenblas-dev python3-pip python3-scipy libusb-dev libpulse-dev cmake-curses-gui python3-h5py`
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- `$ pip3 install --user -r requirements.txt`
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If building RtAudio with the ALSA backend, you will also require the following packages:
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- libclalsadrv-dev
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If building RtAudio with the Jack Audio Connection Kit (JACK) backend, you will also require the following packages:
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- libjack-jackd2-dev
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## Download & build
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- `$ git clone --recursive https://code.ascee.nl/ASCEE/lasp.git`
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- `$ cd lasp`
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For a release build:
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- `$ cmake .`
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or optionally for a custom build:
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- `$ ccmake .`
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Configure and run:
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- `$ make -j`
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### Build documentation
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`$ sudo apt install doxygen`
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While still in lasp dir:
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`$ doxygen`
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This will build the documentation. It can be read by:
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`$ <YOUR-BROWSER> doc/html/index.html`
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## Install
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For an editable install (while developing):
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- `$ pip3 install --prefix=$HOME/.local -e .`
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To install locally, for a fixed version:
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- `$ pip3 install --prefix=$HOME/.local`
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## Usage
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See examples directories for IPython notebooks.
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