基于自适应Q-shift滤波的双树复小波变换
Adaptive Q-shift Filters Based on Dual Tree Complex Wavelet Transform
杨鹏 1杨勤甜1
作者信息
- 1. 无损检测技术教育部重点实验室 南昌航空大学，南昌330063
- 折叠
摘要
为提高对时变信号的分析处理能力，设计了一组同时满足抗混淆、完全重构和正交化的Q-shift滤波器。与传统Q-shift滤波器相比，其权系数可以根据输入信号特性进行自适应调整。将基于自适应Q-shift滤波的双树复小波变换用于对超声缺陷信号进行阈值降噪，实验结果表明，与Q-shift 10/10和DWT两种传统方法相比，去噪后信号的信噪比可以分别提高1.03 dB和1.97 dB。
Abstract
In order to improve analyzing and processing capability for time-varying signals, Q-shift filters meeting no aliasing, perfect reconstruction and orthogonality are designed in this paper. Compared to the traditional Q-shift filters, coefficients of the proposed ones can be adaptively computed according to different characteristic of the input signals. While applying the adaptive Q-shift dual tree complex wavelet based threshold denoising for ultrasonic flaw signals, the experimental results show that the signal-to-noise of the original signals can be enhanced greatly.
关键词
Q-shift滤波器/双树复小波变换/超声缺陷信号/降噪Key words
Q-shift filters/dual tree complex wavelet transform/ultrasonic flaw signals/denoising引用本文复制引用
基金项目
国家自然科学基金(61363050)
江西省自然科学基金(20122BAB201039)
无损检测技术教育部重点实验室开放基金(ZD201229003)
江西省教育厅科技项目(GJJ13515)
出版年
2014
NETL
NSTL
维普
万方数据