The quality of the approximation (16) is characterized by its corresponding tightness to the true performance metric.
The novelty here is that the optimality of a point in the approximation architecture is characterized by means of convex optimization concepts and necessary and sufficient conditions to local optimality are derived.
Compared to the classical linear driving force approximation, which is characterized by a constant mass transfer coefficient and displays large errors at the initial adsorption stage, the present one exhibits rather good accuracy particularly at short times.
With this approximation, the channel is characterized only by distance dependent path loss and modified shadow fading, so that the received power expressed in decibel domain,, is a Gaussian random variable.
As can be seen in Figure 2a, a small number of terms is required to obtain a precise approximation when the channel is characterized by severe fading (κ=0.5,μ=1.5) – in this case, a total number of W2=16 terms is used.
An orthogonal wavelet basis is characterized by its approximation order, which relates to the ability of the basis to represent general smooth functions on a given scale.
where is the Yosida regularization of, while there is an equivalent form, that is characterized as the Yosida approximation of with parameter.
The system is characterized by a separation of the approximation of boundary geometry from the approximation of boundary functions.
Additionally, a finite-memory approximation of our diffusive algorithm is proposed, and its accuracy is characterized.
