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In this paper, the original spatial correlation wavelet denoising has been improved and applied to analyze the data of terahertz time-domain spectroscopy (THz-TDS). The improved algorithm has introduced the conception of threshold coefficient and a suitable threshold to end iteration process of algorithm. Then introduce the scale discriminate coefficient and obtain the adaptive coefficient according...
There are many noises in the fibre-optic strain sensor system, which directly affects the resolution and stability. For the practicability of the system, the denoising to the output signal must be carried out. In this paper, the original spatial correlation wavelet denoising has been improved and applied to analyze the data of fibre-optic strain sensor signal. The simulation results show that the...
It is an effective method to reduce the noise in signals by wavelet multi-scale decomposition. The keys of reducing noise in nonstationary signals are to select good mother wavelet and thresholds for each layer wavelet decomposition coefficients. In this paper, the wavelet analysis and wavelet de-noising are applied to analyse the data of Terahertz time-domain spectroscopy (THz-TDS). THz-TDS is the...
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