Hamming
==================================

.. plot::
    :include-source: False

    import openturns as ot
    from matplotlib import pyplot as plt
    from openturns.viewer import View

    filteringWindow = ot.Hamming()
    numPoints = 512
    data = ot.Sample(numPoints, 2)
    for i in range(numPoints):
        x = -0.1 + (1.2 * i) / (numPoints - 1.0)
        data[i, 0] = x
        data[i, 1] = filteringWindow(x)
    graph = ot.Graph(str(filteringWindow), '$tau$', 'W', True)
    graph.add(ot.Curve(data))
    graph.setColors(['red'])
    fig = plt.figure(figsize=(10, 4))
    filtering_axis = fig.add_subplot(111)
    View(graph, figure=fig, axes=[filtering_axis], add_legend=False)

.. currentmodule:: openturns

.. autoclass:: Hamming

  
   .. automethod:: __init__
   

.. minigallery:: openturns.Hamming
   :add-heading: Examples using the class