SSCA (Strip Spectral Correlation Algorithm) is widely used as a time-smoothed method for estimating cyclic spectrum.

分段谱相关算法(SSCA)是循环谱估计常用的一种时域平滑算法。

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To solve the problem of existing cycle leakage and introducing artificial cyclic features, an innovatory SSCA is proposed based on linear interpolation and proper window choice.

为了解决SSCA在循环谱估计中出现循环谱泄露和错误循环频率峰值的问题，提出了一种改进算法，该算法改进之处在于线性内插和窗函数的选择。

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