Added some comments, first change to doxyfile
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@ -32,7 +32,7 @@ DOXYFILE_ENCODING = UTF-8
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# title of most generated pages and in a few other places.
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# The default value is: My Project.
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PROJECT_NAME = "ASCEE Beamforming"
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PROJECT_NAME = LASP
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# The PROJECT_NUMBER tag can be used to enter a project or revision number. This
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# could be handy for archiving the generated documentation or if some version
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21
README.md
21
README.md
@ -1,9 +1,8 @@
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# Library for Acoustic Signal Processing
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Welcome to LASP: Library for Acoustic Signal Processing. LASP is a C
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library - currently still under heavy development - with a Python
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interface which is supposed to process (multi-) microphone acoustic
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data in real time and output results.
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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 process (multi-) microphone
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acoustic data in real time on a PC and output results.
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The main goal of this library will be the processing of data from an
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array of microphones real time, on a Raspberry PI. At the point in
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@ -14,7 +13,7 @@ is finished, we have a new faster generation :).
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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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- Decimation of the sample rate by an integer factor of 4.
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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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@ -23,15 +22,15 @@ Current features that are implemented:
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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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Some of the near future features:
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- Third octave filter bank
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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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- Conventional and delay-and-sum beamforming algorithms
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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 in a later stage.
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If you have any question, please feel free to contact us: info@ascee.nl.
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If you have any question(s), please feel free to contact us: info@ascee.nl.
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@ -1,6 +1,7 @@
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# We borrow Numpy's implementation for doing the Fast Fourier Transform.
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# This FFT code appears to be faster than KISSFFT.
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add_library(fftpack
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fftpack.c
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)
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# Ling fft to math
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target_link_libraries(fftpack m)
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@ -40,7 +40,7 @@ def init_backend(report_quality=False):
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global _init
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if not _init:
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import matplotlib
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matplotlib.use('Qt5Agg')
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matplotlib.use('Qt5Agg', warn=False, force=True)
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init_matplotlib(report_quality)
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_init = True
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import matplotlib.pyplot as plt
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8
setup.py
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setup.py
@ -5,8 +5,8 @@
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"""
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from setuptools import setup
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descr = "Python wrappers around several C++ optimized beamforming codes"
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descr = """Library for Acoustic Signal Processing. This Python module contains
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tools and code for common operations on acoustic signals."""
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setup(
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name="LASP",
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@ -14,12 +14,10 @@ setup(
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packages=['lasp'],
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author='J.A. de Jong - ASCEE',
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author_email="j.a.dejong@ascee.nl",
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# Project uses reStructuredText, so ensure that the docutils get
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# installed or upgraded on the target machine
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install_requires=['matplotlib>=1.0', 'scipy>=1.0', 'numpy>=1.0'],
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license='MIT',
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description=descr,
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keywords="",
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url="http://www.ascee.nl/lasp/", # project home page, if any
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url="https://www.ascee.nl/lasp/", # project home page, if any
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)
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