Signal Denoising of Laser Exploration System Using Adaptive Lifting Scheme
In this paper, according to information that isslightly characteristic of adaptive adjust prediction and update operators, the paper adopts the adaptive lifting wavelet transform algorithm for accurately matching the processed information. This algorithm can effectively decrease the amount of calculation, as well as the computational complexity of information wavelet analyzed, which can carry out the same address operation and advantages that recur in the laser exploration system realization. Secondly, this paper analyzes how to create a threshold of noise-filtering, using the noise features in laser exploration system. The algorithm can also adapt to the requirement for detecting weakened signal occuring in high noise through the definition of floating threshold. The results show that the new algorithm has improved the traditional algorithm and effectively maintains signal detail while filtering out the signal noise, leading to an improved.
Laser Exploration System Adaptive LiftingScheme Signal Denoising Floating Threshold Wavelet Transform
Xia Ping Liu Xinqiong Xiang Xuejun Wan Junli
College of Electronic Engineering,Three Gorges University,Yichang 443002 China
国际会议
西安
英文
2007-08-16（万方平台首次上网日期，不代表论文的发表时间）