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An efficient implementation of generalized extreme studentized deviate (GESD) on field programmable gate array (FPGA)

机译:在现场可编程门阵列(FPGA)上有效实现广义极端学生偏差(GESD)

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摘要

Outliers are one of the data problem which cannot be overlooked. The problem arise from the possibility of the outliers to become a bad data which can lead to error. One of the technique for identifying as well as eliminating outliers is generalized extreme student deviate (GESD). In this research the implementation of GESD on FPGA is examined. There are two complicated operations on GESD, i.e. division and square root which would be evaluated to find the most efficient processor design. The combination of Binomial and CORDIC has the most efficient resource utilizations with 48%. Meanwhile, the combination of Binomial and Non Restoring is the runner up with 56%.
机译:离群值是不可忽视的数据问题之一。问题是由于异常值成为不良数据的可能性而导致错误。识别和消除异常值的技术之一是广义的极端学生偏差(GESD)。在这项研究中,检查了GESD在FPGA上的实现。在GESD上有两个复杂的操作,即除法和平方根,可以对其进行评估以找到最有效的处理器设计。二项式和CORDIC的结合使用效率最高,达到48%。同时,二项式和非还原型的组合以56%位居第二。

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