MZI signal denoising method based on neighborhood wavelet coefficients
A technology of wavelet coefficients and signals, applied in the direction of mitigating undesired effects, etc., can solve the problem of large error of reconstructed signal, etc., and achieve the effect of optimizing the denoising effect.
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[0017] Demodulation technology is the key to optical fiber sensing systems, and noise is an important factor affecting the accurate demodulation of the center wavelength. Effective noise removal is the need to accurately demodulate changes in external parameters, and wavelet threshold denoising is the representative of nonlinear denoising. The core of wavelet threshold denoising is threshold and threshold function.
[0018] The invention proposes a method for processing optical fiber sensing signals based on the neighborhood wavelet coefficient method, improves the threshold value and the threshold value function, the threshold value can change with the change of the number of decomposition layers, the threshold value is no longer a fixed threshold value, but changes with the decomposition scale The threshold value of , because the wavelet coefficients of noise will decrease with the increase of the number of decomposition layers, so a relatively small threshold value is requi...
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