Denoising of an ultraviolet light received signal based on improved wavelet transform threshold and threshold...

Area of Science:

• Signal Processing
• Optoelectronics

Background:

• Ultraviolet (UV) light signals are susceptible to noise, which can impede accurate data acquisition and analysis.
• Existing denoising methods for UV signals often suffer from limitations such as discontinuity or constant deviation.

Purpose of the Study:

• To develop an advanced wavelet transform algorithm for effective noise reduction in UV light received signals.
• To propose a novel threshold function and an improved threshold calculation method for enhanced signal denoising.

Main Methods:

• Application of the wavelet transform algorithm for signal noise reduction.
• Introduction of a new threshold function that avoids discontinuity and constant deviation issues.
• Development of an improved wavelet threshold calculation method considering the wavelet decomposition level.

Main Results:

• The proposed method effectively reduces noise in UV light signals.
• Simulation results validate the superior performance of the new denoising approach.
• The new threshold function offers advantages over traditional hard and soft thresholding methods.

Conclusions:

• The presented improved wavelet transform algorithm provides a superior denoising effect for UV light signals.
• The novel threshold function and calculation method offer a more robust and accurate solution for UV signal processing.