pyFDA is a python tool with a user-friendly GUI for designing and analysing discrete time filters.
Project description
pyFDA
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.
For more info see the Github Repo
and the documentation at readthedocs.org.
Prerequisites
- Python versions: 3.3 ... 3.7
- All operating systems - there should be no OS specific requirements.
- Libraries:
- (Py)Qt5
- numpy
- scipy
- matplotlib: 2.0 or higher
Optional libraries:
- 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.
conda
If you use the Anaconda distribution, you can install / update pyfda from my Anaconda channel Chipmuenk
using
> conda install -c Chipmuenk pyfda
resp.
> conda update -c Chipmuenk pyfda
pip
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.
setup.py
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
Starting pyFDA
In any case, the start script pyfdax
has been created in <python>/Scripts
which should be in your path. So, simply start pyfda using
> pyfdax
For development and debugging, you can also run pyFDA using
In [1]: %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 [2]: %run -m pyfda.input_widgets.input_pz # IPython or
> python -m pyfda.input_widgets.input_pz # plain python interpreter
Customization
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
pyfda_log.conf
- 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyfda-0.6.0b1.zip
.
File metadata
- Download URL: pyfda-0.6.0b1.zip
- Upload date:
- Size: 474.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.7.1 importlib_metadata/4.8.2 pkginfo/1.8.2 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.8.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 826157791e18d4a9d8b67152ce89d47af052e2ebf4f1a29dc5164754ea1c1dc7 |
|
MD5 | b788ec6c2ce0a1ecf9edc52c76842dce |
|
BLAKE2b-256 | 79429f53681e70adc73ffd360dddc1fe413eccc3dcb20ce392a6f560c3b83572 |