self-similar

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self-sim·i·lar

(sĕlf′sĭm′ə-lər)
adj.
Having a substructure analogous or identical to an overall structure. In mathematics, certain geometrical objects such as line segments and fractals are self-similar to an arbitrary level of magnification; many natural phenomena, such as clouds and plants, are self-similar to some degree.

self′-sim′i·lar′i·ty n.
References in periodicals archive ?
This model revealed three properties of growth: separability, self-similarity and a Gaussian branch density function.
SFCs have patrons and regularities that also are commonly found in fractals and that relation has been linked to the self-similarity property of fractals (Plaza et al.
Dobrescu and Ionescu rigorously analyze achievements in traffic control in large networks, pivoting on the two main aspects of the self-similarity in traffic behavior, and the scale-free characteristic of a complex network.
Here we discuss only the dynamics of conscious experience in the brain, over time, as having self-similarity.
If you did this forever, you would have self-similarity on all scales.
This filter preserves image features due to its use of non-local self-similarity.
Since the fractal coding method aims to reduce the redundancy existing among different local parts of the input image, only the images with good self-similarity can get high quality of decoded images and the quality of decoded images is determined by the self-similarity of input images.
In contrast, the Non Local filter uses the self-similarity of natural images in a non-local manner (Xuande Zhang, 2013).
This framework is explored and crystallized by a challenging,detailed spectral-theoretical study of an enormous class of NSA operators directly arising from the key phenomenon of self-similarity and in duality from branching.
Higuchi fractal dimension (HFD) measures the complexity and self-similarity of a signal [1, 12] in the time domain.
For example the elastic self-similarity model predicts that stem length scales as the 2/ 3 power of diameter and the geometric self-similarity model, which assumes stems are constructed to resist wind forces with minimal investment in biomass, predicts that stem length is proportional to diameter (Niklas, 1994; Niklas, 1995).