摘要
针对短波语音中存在的时变干扰难以跟踪,更难以滤除的问题,提出了一种基于二进小波变换的抗时变干扰算法,利用小波变换的时频域上的高分辨率将信号分解成小波各层细节信号,并通过调整各小波细节信号的加权因子,实现了较好滤除时变干扰的效果。仿真表明此算法不但提高语音信号信噪比,而且使语音失真较小,要明显优于传统的陷波算法。
The narrow-band interference in short-wave communication is time-varying and difficult to be tracked,even harder to be filtered.Considering high resolution of wavelet transform,the article introduces a kind of resistant algorithm that decomposes the voice signal into detail signals,and filters the interference satisfactorily by adjusting weighted coefficients of the signal and the interference separately.Simulation results show that the algorithm is able to improve the Signal-to-Noise Ratio and improve the voice distortion superiorly to the traditional algorithm.
出处
《信息工程大学学报》
2011年第1期88-91,102,共5页
Journal of Information Engineering University
基金
科研基金资助项目
关键词
时变干扰
二进小波变换
干扰估计
干扰滤除
time-varying interference
dyadic wavelet transform
interference estimation
interference rejection
