火力与指挥控制Issue(12)：84-87,4.
基于双树复小波变换的信号去噪算法
Signal Denoising Algorithm Based on Dual-tree Complex Wavelet Transform
摘要
Abstract
To improve the quality of received signal and eliminate the influence of noise on the signal,a signal denoising algorithm based on Dual-Tree Complex Wavelet Transform(DTCWT)is proposed. Through the double tree structure,the loss of useful information resulting from the sampling is avoided,and then the threshold of real part and imaginary part of high frequency component for each floor is calculated separately,and filter processing according to their respective threshold. Simulation results show that this algorithm has the translation invariance compared with the Discrete Wavelet Transform (DWT)denoising algorithm,and the waveform is not only relatively smooth and keeps the details of the signal better after processing,but also denoising performance is superior to the DWT.关键词
降噪/双树复小波变换/离散小波变换/平移不变性Key words
denoising/dTCWT/DWT/shift invariance分类
信息技术与安全科学引用本文复制引用
刘文涛,陈红,蔡晓霞,刘俊彤..基于双树复小波变换的信号去噪算法[J].火力与指挥控制,2014,(12):84-87,4.
