This paper presents a computational efficient method to estimate the IF of multi-component signals for both mono-sensor and multi-sensor recordings. The algorithm uses fractional Fourier windows to find out both the highest energy TF point and the optimal rotation order of the analysis window at that point. The detected peak and rotation order are then used to track the IF curve by using linear interpolation to skip a predetermined number of samples, thus reducing the computational cost. The estimated IF is then used to remove the strongest component from the mixture, and this process is repeated till IFs of all the components are estimated. Experimental results indicate that the proposed method achieves similar performance in terms of the accuracy of IF estimate as that of the state-of-the-art method while significantly reducing the computational cost.

本文提出了一种计算有效的方法来估计单传感器和多传感器记录的多分量信号的中频。该算法使用分数傅里叶窗来找出最高能量TF点和该点处分析窗的最佳旋转顺序。然后，通过使用线性插值来跳过预定数量的样本，将检测到的峰值和旋转顺序用于跟踪IF曲线，从而降低了计算成本。然后使用估计的IF从混合物中去除最强的成分，然后重复此过程，直到估计所有成分的IF。