Package: zignal
Copyright (c) 2013 Ronny AnderssonPermission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.Download-URL:https://pypi.python.org/pypi/zignalDescription: # zignalThis is a python audio signal processing library.Python 2 is no longer supported, the last version to support python 2 is 0.2.0## Example usage>>> import zignal
>>>
>>> x = zignal.Sinetone(fs=44100, f0=997, duration=0.1, gaindb=-20)
>>> print(x)
=======================================
classname        : Sinetone
sample rate      : 44100.0 [Hz]
channels         : 1
duration         : 0.100 [s]
datatype         : float64
samples per ch   : 4410
data size        : 0.034 [Mb]
has comment      : no
peak             : [ 0.1]
RMS              : [ 0.0707]
crestfactor      : [ 1.4147]
-----------------:---------------------
frequency        : 997.0 [Hz]
phase            : 0.0 [deg]
-----------------:--------------------->>> x.fade_out(millisec=10)
>>> x.convert_to_float(targetbits=32)
>>> x.write_wav_file("sinetone.wav")
>>> x.plot()
>>> x.plot_fft()
>>>
>>> f = zignal.filters.biquads.RBJ(filtertype="peak", gaindb=-6, f0=997, Q=0.707, fs=96000)
>>> print(f)
=======================================
classname        : RBJ
sample rate      : 96000.0 [Hz]
feedforward  (B) : [ 0.96949457 -1.87369167  0.90819329]
feedback     (A) : [ 1.         -1.87369167  0.87768787]
number of zeros  : 2
number of poles  : 2
minimum phase?   : Yes
-----------------:---------------------
stable?          : Yes
type             : peak
gain             : -6.00 [dB]
f0               : 997.0 [Hz]
Q                : 0.7070>>> f.plot_mag_phase()
>>> f.plot_pole_zero()
>>>See the examples folder for more examples.## RequirementsThis library relies on numpy, scipy, matplotlib and optionally pyaudio (and nose for unit testing). It is recommended to create a virtual environment and let pip install the dependencies automatically.python3 -m venv <name-of-virtualenv>
. <name-of-virtualenv>/bin/activate
pip install zignalOptionally, to be able to use a soundcard, first install the python development headers and the portaudio development files. On debian/ubuntu,sudo apt install python3-dev portaudio19-devthen runpip install zignal[sndcard]which will automatically build the portaudio library and then pyaudio.## Local developmentCreate a python3 virtualenv and install from the requirements.txt file to make the zignal library editable. Note that the python development headers (python3-dev) and portaudio19-dev must be installed first.python3 -m venv zignaldev
. zignaldev/bin/activate
pip install -r requirements.txt## Design goalsReadability over efficiency. This is a python library for development and understanding of audio signal processing.The initial goal is to write the functionality in pure python, with the use of numpy, scipy and matplotlib. See rule 1. If efficiency becomes an issue a c/c++ library might be implemented but the pure python code must remain the default choice.Design for non real-time processing. Functionality to do real-time processing can be added if it does not break rule 1.Self documentation. The code should aim to be well documented, in the source code itself.Keywords: audio,sound,card,soundcard,pyaudio,portaudio,playback,recording,digital,signal,processing,DSP,signalprocessing,fourier,FFT,filter,filtering,parametric,eq,equaliser,equalizer,biquad,cookbook,sine,generator,mls,mlssa,maximum,length,sequence,maximumlengthsequence,pseudo,random,pseudorandom,measure,measurement,impulse,response,impulseresponse,frequency,frequencyresponse,magnitude,magnituderesponse,piano,midi,tuning,scale,pitch,notation,equal,temperament,12TET,spn
Platform: any
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Education
Classifier: Topic :: Multimedia :: Sound/Audio :: Analysis
Classifier: Topic :: Multimedia :: Sound/Audio :: Capture/Recording
Classifier: Topic :: Multimedia :: Sound/Audio :: Editors
Classifier: Topic :: Multimedia :: Sound/Audio :: MIDI
Classifier: Topic :: Multimedia :: Sound/Audio :: Mixers
Classifier: Topic :: Multimedia :: Sound/Audio :: Players
Classifier: Topic :: Multimedia :: Sound/Audio :: Sound Synthesis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Software Development :: Quality Assurance
Classifier: Topic :: Software Development :: Testing
Provides-Extra: sndcard
Provides-Extra: testing