Exact(8)
Card read operation - Here, we consider an arbitrary data pattern, say e.g., "11010011" which has been read from the SD card.
The second case estimates an arbitrary data point on the space-time hyperplane by interpolating the discrete samples collected by the sensors.
Let us consider that each service involves an arbitrary data set Z = {Z 1, Z 2, …, Z n } that can be selected independently.
As shown in Figure 9, the access time of an arbitrary data item D i can be further decomposed into two parts: waiting time and retrieval time.
A channel estimate at an arbitrary data position using a linear interpolation is given by a weighted sum of the three nearest channel estimates (in the Euclidean sense of the time-frequency grid) at pilot positions, that span a plane.
But in the case of steady compressible MHD flows, the equations for the magnetic field are governed by an elliptic system and we cannot get the bound of (|mathbf{H}|_{L^{2}}) and in turn (|mathbf{H}|_{H^{1}}) in terms of the velocity coefficient u directly since here the coefficient u we consider is an arbitrary data.
The waiting time of an arbitrary data item D i is defined as the time interval between the moment the mobile device gets an index packet and the moment the data channel starts to broadcast the target data item D i.
Second, the optimum spatial-temporal sampling for two types of networks, one needs to recover only the discrete space-time samples collected by the sensors through their noisy observations, and one needs to recover an arbitrary data point on the space-time hyperplane, are identified through the asymptotic analysis.
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