The best procedure here is to set the boundaries of each frame at the points where an onset [36, 37] (new note, instrument or vocal) occurs, so the longest homogeneous frames are considered.
For homogeneous wavelet dual frames, regularity and vanishing moments have been both required.
In particular, a connection has been drawn between sampling of homogeneous polynomials and frames of symmetric k-tensors.
In particular, homogeneous wavelet dual frames in (L^{2}(mathbb {R}^{d})) were first characterized by Han [9], and then studied by Bownik [3].
This perspective unifies a number of observations that have been made regarding tightness of the bounds and their connections to symmetric k-tensors, tight frames, homogeneous polynomials, and t-designs.
In order to exploit the homogeneous blocks between frames, in the temporal domain, we use the difference between the current macroblock (MB) and the corresponding MB that is shown in (8).
Dark and homogeneous subsets form the background.
Look at postelection America, and you see a similarly clear geographic divide: the liberal, urban coasts with a couple of Midwestern blobs nervously framing a homogeneous, conservative heartland.
This procedure is then applied to two- and three-dimensional frames, with homogeneous and non-homogeneous cross-sections, and assuming both constant and proportional loading.
The surveys' sampling designs and sizes were not homogeneous: while most sampling frames drew on stratified random selections of private households, some datasets were based on income tax or other administrative records of government agencies.
