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Strategies for implementing this algorithm on parallel architecture machines are presented.
By implementing this algorithm, the model experimentation can be performed as follows.
The major parameters for implementing this algorithm are capable of being randomly chosen.
In this paper, we focus on implementing this algorithm in a fixed-point format.
Only the nodes and the connectivity patterns of the members are needed for implementing this algorithm.
An R package implementing this algorithm, called PMA, is available at http://cran.r-project.org/web/packages/PMA/index.html.html
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While it may be desirable to implement this algorithm in hardware to achieve frame-rate processing, a naı¨ve implementation may fail to meet timing requirements.
Matlab codes for cognitive radio is developed to implement this algorithm method.
Thus, a high anchor ratio is mandatory to implement this algorithm in network localization.
We have implemented this algorithm in a live ISO-13818/MPEG-2 perceptranscodercoder.
For efficiency, we design a generalized FP-tree to implement this algorithm.
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