pyfda 0.2b1

pyFDA is a python tool with a user-friendly GUI for designing and analysing discrete time filters.

pyFDA is a GUI tool in Python / Qt for analysing and designing discrete time filters.

Screenshot

Prerequisites

• Python versions: 2.7 or 3.3 … 3.6

• All operating systems - there should be no OS specific requirements.

• Libraries:

• (Py)Qt4 or (Py)Qt5. When both libraries are installed, PyQt5 is used.

• numpy, scipy, matplotlib

Optional libraries: * docutils for rich text in documentation * xlwt and / or XlsxWriter for exporting filter coefficients as *.xls(x) files

Features

• Filter design

  • Design methods: Equiripple, Firwin, Moving Average, Bessel, Butterworth, Elliptic, Chebychev 1 and 2 (from scipy.signal and custom methods)

  • Second-Order Sections are used in the filter design when available for more robust filter design and analysis

  • Remember all specifications when changing between filter design methods

  • Fine-tune manually the filter order and corner frequencies calculated by minimum order algorithms

  • Filter coefficients and poles / zeroes can be displayed, edited and quantized in various formats

• Clearly structured User Interface

  • only widgets needed for the currently selected design method are visible

  • enter specifications as absolute or normalized frequencies resp. in dB or voltage / power ratios using expressions like exp(-pi/4 * 1j) (integrated library simpleeval <https://pypi.python.org/pypi/simpleeval>)

  • enhanced matplotlib NavigationToolbar (nicer icons, additional functions)

  • display help files (own / Python docstrings) as rich text

  • tooltips for all control and entry widgets

• Graphical Analyses

  • Magnitude response (lin / power / log) with optional display of specification bands, phase and an inset plot

  • Phase response (wrapped / unwrapped)

  • Group delay

  • Pole / Zero plot

  • Impulse response and step response (lin / log)

  • 3D-Plots (|H(f)|, mesh, surface, contour) with optional pole / zero display

• Modular architecture, facilitating the implementation of new filter design and analysis methods

  • Filter design files not only contain the actual algorithm but also dictionaries specifying which parameters and standard widgets have to be displayed in the GUI.

  • Special widgets needed by design methods (e.g. for choosing the window type in Firwin) are included in the filter design file, not in the main program

• Saving and loading

  • Save and load filter designs in pickled and in numpy’s NPZ-format

  • Export and import coefficients and poles/zeros as comma-separated values (CSV), in numpy’s NPY- and NPZ-formats, in Excel (R) or in Matlab (R) workspace format

  • Export coefficients in FPGA vendor specific formats like Xilinx (R) COE-format

Installing 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 is the one your setup.py sits in. In this case, you need to have a local copy of the pyfda project, preferrably using git. Now you can edit your local copy, test it and e.g. push it to your own git fork.

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

• Layout and some parameters can be customized with the file pyfda/pyfda_rc.py (within the install directory right now).

• Select which widgets and filters will be included, define a user directory for integration of your own widgets in <USER_HOME>/.pyfda/pyfda.conf

• Control logging behaviour with <USER_HOME>/.pyfda/pyfda_log.conf