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Post hoc smoothing (spatial averaging) was achieved using a moving window operator (41×41 pixels).
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The LULU filter class consists of filters constructed from cascade interconnections of the following two asymmetric moving window operators: begin{array}rcl@ bigvee_{K} { x_{k} } & = & max { x_{k}, x_{k+1}, dots, x_{k+K} } bigwedge_{K} { x_{k} } & = & min { x_{k-K}, dots, x_{k-1}, x_{k} }. end{array} (13).
With that purpose, an optimal schedule program of the whole system is simulated considering a moving window in a receding horizon, in which the operational rules established by the island's system operator are implemented.
Typically, the Lee filter operates in a 7 7 moving window.
where w is the moving window.
As an alternative, a moving window technique is applied.
A moving window analysis is used in this method.
The CAWF employs a finite size moving window.
As shown in this study, moving window approach is used.
where (i,j) is the center of moving window.
(4) Moving Window Integration.
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