Signal Denoising of Laser Exploration System Using Adaptive Lifting Scheme

In this paper, according to information that is slightly 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 calcu...

Full description

Saved in:
Bibliographic Details
Main Authors: Xia Ping, Liu Xinqiong, Xiang Xuejun, Wan Junli
Format: Conference Proceeding
Language:English
Subjects:
Adaptive Lifting Scheme
Adaptive signal detection
Adaptive systems
Algorithm design and analysis
Computational complexity
Filtering algorithms
Floating Threshold
Information analysis
Laser Exploration System
Laser noise
Signal denoising
Wavelet analysis
Wavelet Transform
Wavelet transforms
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, according to information that is slightly 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 occurring 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.
DOI:10.1109/ICEMI.2007.4350403