Приложение: pyfda Python Filter Design Analysis Tool Features: • Design methods: Equiripple, Firwin, Moving Average, Bessel, Butterworth, Elliptic, Chebyshev 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 filter design methods • Fine-tune manually the filter order and corner frequencies calculated by minimum order algorithms • Compare filter designs for a given set of specifications and different design methods • Filter coefficients and poles / zeroes can be displayed, edited and quantized in various formats • only widgets needed for the currently selected design method are visible • enhanced matplotlib NavigationToolbar (nicer icons, additional functions) • display help files (own / Python docstrings) as rich text • tooltips for all control and entry widgets • specify frequencies as absolute values or normalized to sampling or Nyquist frequency • specify ripple and attenuations in dB, as voltage or as power ratios • enter expressions like exp(-pi/4 * 1j) with the help of the library simpleeval (included in source files) • 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 • 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. • 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 Источник FlatPak: pyfda [Developer Tools] |
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