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get_window(window, Nx, fftbins=True)

Notes

Window types:

boxcar
triang
blackman
hamming
hann
bartlett
flattop
parzen
bohman
blackmanharris
nuttall
barthann
cosine
exponential
tukey
taylor
lanczos
kaiser (needs beta)
kaiser_bessel_derived (needs beta)
gaussian (needs standard deviation)
general_cosine (needs weighting coefficients)
general_gaussian (needs power, width)
general_hamming (needs window coefficient)
dpss (needs normalized half-bandwidth)
chebwin (needs attenuation)

If the window requires no parameters, then window can be a string.

If the window requires parameters, then window must be a tuple with the first argument the string name of the window, and the next arguments the needed parameters.

If window is a floating point number, it is interpreted as the beta parameter of the kaiser window.

Each of the window types listed above is also the name of a function that can be called directly to create a window of that type.

Parameters

window : string, float, or tuple: The type of window to create. See below for more details.
Nx : int: The number of samples in the window.
fftbins : bool, optional: If True (default), create a "periodic" window, ready to use with ifftshift and be multiplied by the result of an FFT (see also ~scipy.fft.fftfreq). If False, create a "symmetric" window, for use in filter design.

Returns

get_window : ndarray: Returns a window of length Nx and type window

Return a window of a given length and type.

Examples

from scipy import signal
signal.get_window('triang', 7)

signal.get_window(('kaiser', 4.0), 9)

signal.get_window(('exponential', None, 1.), 9)

signal.get_window(4.0, 9)

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

scipy.signal._spectral_py:check_COLA scipy.signal._spectral_py:_spectral_helper scipy.signal._spectral_py:csd scipy.signal._spectral_py:coherence scipy.signal._signaltools:resample scipy.signal._spectral_py:periodogram scipy.signal._spectral_py:spectrogram scipy.signal._spectral_py:welch scipy.signal._spectral_py:stft scipy.signal._signaltools:resample_poly scipy.signal._fir_filter_design:firwin2 scipy.signal.windows._windows:kaiser_bessel_derived scipy.signal._spectral_py:istft scipy.signal._spectral_py:check_NOLA scipy.signal._fir_filter_design:firwin

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GitHub : /scipy/signal/windows/_windows.py#2261
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