Exact(6)
They are also applicable in case of non-stationary scenario where within the window the data are assumed stationary.
At every sampling point, if the newly sensed data of a node does not change beyond the filtering window, the data will not be sent to the sink.
Prior to employing the AR modeling in each window, the data were normalized to zero mean and unit variance in order to eliminate the energy differences between different events.
In the spectral analysis mode, the DC component is removed from the input window; the data are normalized to unit variance; and the FFT of the resulting signal envelope is computed.
However, as the data quality under the framework of this research is measured in a 2-year window, the data quality could be recognized as poor in those 2 years (instead of year (t) only), since there is a huge jump in the coefficient that should be stable.
Around each point in the study area, a variable sized window is constructed based on a predetermined number of nearest neighbors; within this window, the data contribute to S x, y) according to a tricube weighting function.
Similar(54)
As the analysis algorithms are held constant, regardless of who sets up the windows, the data are consistent.
Summarising the data using sliding windows: The data can be searched for genome regions of defined interest using a sliding-window approach.
Essentially, taking moving averages involves running a moving window over the data and taking averages of points falling within each of these windows.
Their disadvantage is the relatively high dark noise count rate (≈MHz/mm2) which can be overcome by using a narrow time window in the data acquisition.
Similarly, in our problem setting each exploratory query can be perceived as a sliding window over the data space.
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