Design and analyse discrete time DSP filters with a user-friendly GUI tool. Fixpoint filters in time and frequency domain, too.
Python Filter Design Analysis Tool
pyFDA is a GUI based tool in Python / Qt for analysing and designing discrete time filters. When the migen module ist installed, fixpoint implementations (for some filter types) can be simulated and exported as synthesizable Verilog netlists.
- Python versions: 3.3 ... 3.7
- All operating systems - there should be no OS specific requirements.
- matplotlib: 2.0 or higher
- migen for fixpoint simulation and Verilog export. When missing, the "Fixpoint" tab is hidden.
- docutils for rich text in documentation
- xlwt and / or XlsxWriter for exporting filter coefficients as *.xls(x) files
Installing and Starting pyFDA
There is only one version of pyfda for all supported operating systems, Python and Qt versions. As there are no binaries included, you can simply install from the source.
If you use the Anaconda distribution, you can install / update pyfda from my Anaconda channel
> conda install -c Chipmuenk pyfda
> conda update -c Chipmuenk pyfda
Otherwise, you can install from PyPI using
> pip install pyfda
or upgrade using
> pip install pyfda -U
or install locally using
> pip install -e <YOUR_PATH_TO_PYFDA>
where the specified path points to
pyfda.setup.py but without including
setup.py. In this case, you need to have a local copy of the pyfda project, preferrably using git.
You could also download the zip file from Github and extract it to a directory of your choice. Install it either to your
<python>/Lib/site-packages subdirectory using
> python setup.py install
or just create a link to where you have copied the python source files (for testing / development) using
> python setup.py develop
In any case, the start script
pyfdax has been created in
<python>/Scripts which should be in your path. So, simply start pyfda using
For development and debugging, you can also run pyFDA using
In : %run -m pyfda.pyfdax # IPython or > python -m pyfda.pyfdax # plain python interpreter
All individual files from pyFDA can be run using e.g.
In : %run -m pyfda.input_widgets.input_pz # IPython or > python -m pyfda.input_widgets.input_pz # plain python interpreter
The location of the following two configuration files (copied to user space) can be checked via the tab
Files -> About:
- Logging verbosity can be controlled via the file
- Widgets and filters can be enabled / disabled via the file
pyfda.conf. You can also define one or more user directories containing your own widgets and / or filters.
Layout and some default paths can be customized using the file
pyfda/pyfda_rc.py, right now you have to edit that file at its original location.
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