Window functions (scipy.signal.windows)ΒΆ
The suite of window functions for filtering and spectral estimation.
get_window(window, Nx[, fftbins]) |
Return a window. |
barthann(M[, sym]) |
Return a modified Bartlett-Hann window. |
bartlett(M[, sym]) |
Return a Bartlett window. |
blackman(M[, sym]) |
Return a Blackman window. |
blackmanharris(M[, sym]) |
Return a minimum 4-term Blackman-Harris window. |
bohman(M[, sym]) |
Return a Bohman window. |
boxcar(M[, sym]) |
Return a boxcar or rectangular window. |
chebwin(M, at[, sym]) |
Return a Dolph-Chebyshev window. |
cosine(M[, sym]) |
Return a window with a simple cosine shape. |
dpss(M, NW[, Kmax, sym, norm, return_ratios]) |
Compute the Discrete Prolate Spheroidal Sequences (DPSS). |
exponential(M[, center, tau, sym]) |
Return an exponential (or Poisson) window. |
flattop(M[, sym]) |
Return a flat top window. |
gaussian(M, std[, sym]) |
Return a Gaussian window. |
general_cosine(M, a[, sym]) |
Generic weighted sum of cosine terms window |
general_gaussian(M, p, sig[, sym]) |
Return a window with a generalized Gaussian shape. |
general_hamming(M, alpha[, sym]) |
Return a generalized Hamming window. |
hamming(M[, sym]) |
Return a Hamming window. |
hann(M[, sym]) |
Return a Hann window. |
hanning(*args, **kwds) |
hanning is deprecated, use scipy.signal.windows.hann instead! |
kaiser(M, beta[, sym]) |
Return a Kaiser window. |
nuttall(M[, sym]) |
Return a minimum 4-term Blackman-Harris window according to Nuttall. |
parzen(M[, sym]) |
Return a Parzen window. |
slepian(M, width[, sym]) |
Return a digital Slepian (DPSS) window. |
triang(M[, sym]) |
Return a triangular window. |
tukey(M[, alpha, sym]) |
Return a Tukey window, also known as a tapered cosine window. |
