Overlapping Windows
When the length of a data set to be transformed is larger than necessary to provide the desired frequency resolution, a common practice is to subdivide it into smaller sets and window them individually. To mitigate the "loss" at the edges of the window, the individual sets may overlap in time. See Welch method of power spectral analysis and the Modified discrete cosine transform.
Read more about this topic: Window Function
Famous quotes containing the words overlapping and/or windows:
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—William James (1842–1910)
“The frost was on the village roofs as white as ocean foam;
The good red fires were burning bright in every ‘longshore home;
The windows sparkled clear, and the chimneys volleyed out;
And I vow we sniffed the victuals as the vessel went about.”
—Robert Louis Stevenson (1850–1894)