In considering a point-like structure the wind force spectrum given by Eq. (1) can be used to define a spectrum of input acceleration as in Eq. (2), i.e. the acceleration imparted by wind to the structural system.
In the top panel of the figure a spectrum of the input signal is given.
Many experiments have proven that the standard values of parameters provide a stable and reasonable good performance over a wide spectrum of input data.
Previous comparative analyses of the Sigma-54 associated EBPs made clear that the Sigma-54 activators connect to a wide spectrum of input signals [ 15, 52].
I(W) has a spectrum of [0,1], and only when inputs have uniform distribution, I W) can be considered as the capacity of channel with an expression below: I(W)={displaystyle sum_{yin mathbf{mathcal{Y}}}}{displaystyle sum_{xin mathbf{mathcal{X}}}}frac{1}{2}Wlogt(yBig|xright) log frac{Wleft yBig|xright)}{frac{1}{2}Wleft(yBig|0right)+frac{1}{2}Wleft(yBig|1right)} (3).
The equation in (e) illustrates the linearisation process whereby a spectrum of exponentials convolved with the input function are predetermined so as to allow the linear solution for the blood-perfusion weighting terms given by α i.
The equation in Figure 2e illustrates the linearisation process whereby a spectrum of exponentials convolved with the input function are predetermined so as to allow the linear solution for the blood-perfusion weighting terms given by α i.
The upper panel shows the spectrum of the (synthetically generated) input signal, and the lower panel shows a spectrum of the signal obtained after HF generation based on the low-band signal without noise correction.
The upper panel shows the spectrum of the input signal (a glockenspiel signal), and the lower panel shows a spectrum of the signal obtained after HF generation based on the low-band signal without adding separate sinusoids.
The set T is used as the index set for the diversity rank function value and | T| = t is indeed the cardinality of P. The diversity rank/score function f(A, B ) so defined exhibits the diversity trend of the prediction result pair (A, B) across the whole spectrum of input set of t inhibitors and is independent of the specific inhibitor under study.
Uncertainty is addressed here through the development of a suite of ALPEs that account for the full spectrum of input parameters and the associated uncertainty of the dispersal model in use.
