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Module « scipy.signal »

Fonction get_window - module scipy.signal

Signature de la fonction get_window

def get_window(window, Nx, fftbins=True) 

Description

help(scipy.signal.get_window)

Return a window of a given length and 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
    :func:`~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`

Notes
-----
Window types:

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

Examples
--------
>>> from scipy import signal
>>> signal.get_window('triang', 7)
array([ 0.125,  0.375,  0.625,  0.875,  0.875,  0.625,  0.375])
>>> signal.get_window(('kaiser', 4.0), 9)
array([ 0.08848053,  0.29425961,  0.56437221,  0.82160913,  0.97885093,
        0.97885093,  0.82160913,  0.56437221,  0.29425961])
>>> signal.get_window(('exponential', None, 1.), 9)
array([ 0.011109  ,  0.03019738,  0.082085  ,  0.22313016,  0.60653066,
        0.60653066,  0.22313016,  0.082085  ,  0.03019738])
>>> signal.get_window(4.0, 9)
array([ 0.08848053,  0.29425961,  0.56437221,  0.82160913,  0.97885093,
        0.97885093,  0.82160913,  0.56437221,  0.29425961])

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