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A Real-Time and High-Precision Algorithm for Frequency Estimation by Fusing Multi-segment Signals

机译:融合多段信号频率估计的实时和高精度算法

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In the frequency estimation of multi-segment signals, the error caused by discontinuity among different segments cannot be ignored. By correcting the phase difference of each segment, the results can be enormously improved, but the computational complexity of the algorithm grows on the same time. To resolve this problem, a new fusion algorithm based on spectrum zooming is proposed. The new algorithm performs spectrum zoom analysis to reduce the computational complexity while the precision is guaranteed, which is suitable to those real-time applications. Performance of the algorithm is demonstrated and analyzed through computer simulations.
机译:在多段信号的频率估计中,不能忽略不同段之间的不连续性引起的误差。通过校正每个段的相位差,可以极大地改善结果,但算法的计算复杂性同时增长。为了解决这个问题,提出了一种基于频谱缩放的新融合算法。新算法执行频谱变焦分析,以降低计算复杂性,而保证精度,适用于这些实时应用。通过计算机仿真对算法进行性能。

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