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Thecomputationalrequirementsofthealgorithmsarecomparedintermsoftheirexecutiontimeswit...
The computational requirements of the algorithms are compared in terms of their execution times within a time-step. The FXLMS algorithm was implemented as a multi-tasking system (a cancellation task and an on-line system identification task), with system identification executed in the background. Hence, the identification task execution time is within a length L block of time-steps. The execution times are summarised in Table 1
The execution times for the FXLMS cancellation task and the Er-MCSI algorithm are similar, but the FXLMS system identification task is comparatively intensive. Furthermore, for a two-input/two-output coupled system, four identification tasks would be required for the FXLMS algorithm. This would further increase its computational requirements compared to the equivalent Er-MCSI algorithm
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The execution times for the FXLMS cancellation task and the Er-MCSI algorithm are similar, but the FXLMS system identification task is comparatively intensive. Furthermore, for a two-input/two-output coupled system, four identification tasks would be required for the FXLMS algorithm. This would further increase its computational requirements compared to the equivalent Er-MCSI algorithm
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算法的计算要求被比较根据他们的在时间步之内的执行时间。 FXLMS算法在背景中被实施了作为一个多任务系统(取消任务和一项在线系统证明任务),当系统辨识被执行。 因此,证明任务执行时间在时间步的长度L块之内。 执行时间在表1被总结
The FXLMS取消任务和唔MCSI算法的执行时间是相似的,但是FXLMS系统辨识任务是相当地密集的。 此外,为二输入或二产品耦合系统,四项证明任务对于FXLMS算法是必需的。 这会进一步增加它的计算要求与等效唔MCSI算法比较
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The FXLMS取消任务和唔MCSI算法的执行时间是相似的,但是FXLMS系统辨识任务是相当地密集的。 此外,为二输入或二产品耦合系统,四项证明任务对于FXLMS算法是必需的。 这会进一步增加它的计算要求与等效唔MCSI算法比较
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