Wavelet transform can suppress the noise of multimode fiber optic micro-vibration sensing signal, but still seriously affected by the existing threshold function. In this paper, we proposed an improved wavelet threshold function based upon hyperbolic tangent function to perform wavelet denoising on heartbeat signals to verify its effectiveness. The results show that under the input signal-to-noise ratio (SNR) of 5dB, the output SNR of each decomposition layer obtained by the improved threshold function is higher than those of the existing methods, while the root mean square error (RMSE) is smaller. It is worth noting that when the signal is cleaner, less noise can be denoise but higher SNR can be achieved, indicating that the proposed threshold function greatly alleviates the pseudo-Gibbs and constant bias. This research improves multimode fiber micro-vibration sensing performance and facilitates health diagnostics.
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