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来源：百度知道 编辑：UC知道 时间：2024/05/04 16:45:27
The Er-MCSI algorithm was found to perform very similarly to the FXLMS algorithm with frequency-domain identification, both in terms of speed of convergence and level of cancellation. The operation of the Er-MCSI algorithm in this application is made possible by using a variable band-pass filter to pick out a particular frequency for cancellation without introducing significant phase shift to the filtered signal.
The Er-MCSI algorithm provides a significant computational advantage over the FXLMS algorithm since it requires no on-line system identification. This advantage will become more significant when the algorithms are extended to control multiple mount-sensor systems.
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The Er-MCSI algorithm provides a significant computational advantage over the FXLMS algorithm since it requires no on-line system identification. This advantage will become more significant when the algorithms are extended to control multiple mount-sensor systems.
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发现唔MCSI算法非常同样地执行于FXLMS算法与频域证明，根据取消的汇合和水平的速度。 唔MCSI算法的操作在这种应用的使成为可能通过使用一台易变的带通滤波器挑选取消的一个特殊频率，无需介绍重大周相移动对被过滤的信号。 因为它不要求在线系统证明， The唔MCSI算法提供重大计算好处超过FXLMS算法。 当算法延伸到控制多个登上传感器系统，这好处将变得更加重大。
那我的回答不行？？？？？？？
该尔mcsi算法被发现执行非常同样向FXLMS算法与频域辨识，因为无论从收敛速度和水平取消。经营该尔mcsi算法，在此提出申请，有可能用一个变量带通滤波器，筛选出某一特定频率的取消，没有引入显着的相移，以过滤信号。
该尔mcsi算法提供了一个重要的计算优势比FXLMS算法，因为它要求无在线系统辨识。这个优势将变得更加显着，当算法扩展到控制多摩传感器系统。