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。
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。
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。
应用推荐