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For each method, we first convert the waveforms of individual stations into a metric function and stack them into a network representative trace.
A metric function and a positioning function have been designed by taking advantage of the correlation properties of OFDM signals.
To handle these problems, a fuzzy interactive multi-objective optimization model is developed based on Pareto solutions, where the metric function and some additional constraints are added to ensure the collaboration among design objectives.
The metric function and its rate of change from point to point can be used to define a geometrical quantity called the Riemann curvature tensor, which describes exactly how the space or spacetime is curved at each point.
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He claimed that D-metrics provide a generalization of ordinary metric functions and went on to present several fixed point results.
The metric functions and properties that we evaluate on feature models conform to the classification proposed in (Crnkovic et al. 2005).
The Einstein's field equations have been solved exactly by taking the shear in the model proportional to expansion scalar which leads to A = B n, where A and B are metric functions and n is a positive constant (n > 1).
We call this approach GD model, which has two steps: Graph-step (Section 2.3 ): create an undirected graph G on the image (graph vertexes are image voxels) with edge weight calculated according to the geodesic metric function g, and then find the shortest path P with respect to a pair of 'defined' endnodes a and b of the skeleton curve.
Assuming for any path a, its metric is defined by a metric function W(a) and the concatenation of two paths a and b is denoted by a + b, the metric function W is isotonic if W(a) ≤ W (b) implies both W (a + c) ≤ W (b + c) and W(c′+ a) ≤ W(c′+ b), for all a, b, c, c′ (see Figure 2 below for details).
Definition 2 (ε-neighborhood): The ε-neighborhood radius of an object is a collection of data with distances to the object less than ε: (3) N ε x = y ∈ X | d i s t x, y ≤ ε where dist x,y) is the metric function of distance and the Euclidean distance is often used.
For this purpose, a metric function that reflects the gross and fine error characteristics of the array is proposed.
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