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 (18421910)
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—Henry David Thoreau (18171862)