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          "value": "w(n) = 0.54 - 0.46 \\cos\\left(\\frac{2\\pi{n}}{M-1}\\right)\\qquad 0 \\leq n \\leq M-1"
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              "value": "The Hamming was named for R. W. Hamming, an associate of J. W. Tukey and is described in Blackman and Tukey. It was recommended for smoothing the truncated autocovariance function in the time domain. Most references to the Hamming window come from the signal processing literature, where it is used as one of many windowing functions for smoothing values.  It is also known as an apodization (which means \"removing the foot\", i.e. smoothing discontinuities at the beginning and end of the sampled signal) or tapering function."
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              "value": " has experimental support for Python Array API Standard compatible backends in addition to NumPy. Please consider testing these features by setting an environment variable "
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        "value": "A = fft(window, 2048) / (len(window)/2.0)\nfreq = np.linspace(-0.5, 0.5, len(A))\nresponse = 20 * np.log10(np.abs(fftshift(A / abs(A).max())))\n",
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    ".. [1] Blackman, R.B. and Tukey, J.W., (1958) The measurement of power",
    "       spectra, Dover Publications, New York.",
    ".. [2] E.R. Kanasewich, \"Time Sequence Analysis in Geophysics\", The",
    "       University of Alberta Press, 1975, pp. 109-110.",
    ".. [3] Wikipedia, \"Window function\",",
    "       https://en.wikipedia.org/wiki/Window_function",
    ".. [4] W.H. Press,  B.P. Flannery, S.A. Teukolsky, and W.T. Vetterling,",
    "       \"Numerical Recipes\", Cambridge University Press, 1986, page 425."
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