Abstract
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.
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Khan, N.A., Ali, S. An efficient IF estimation algorithm for both mono- and multi-sensor recordings. SIViP 15, 1687–1693 (2021). https://doi.org/10.1007/s11760-021-01906-5
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DOI: https://doi.org/10.1007/s11760-021-01906-5